recommendation

Ruling Party to Start Candidate Recommendation Process for Special Inspector Post

[Politics] :
The ruling People Power Party has decided to take steps to ensure that the National Assembly recommends candidates for the post of special inspector to look at allegations against members of the president’s family. The ruling camp adopted the party policy during a general meeting for its lawmakers on ...

[more...]




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High-level conference marks 20 years of OSCE High Commissioner’s Hague Recommendations on education rights

THE HAGUE, 20 April 2016 - Education is in many ways the space where issues of equality, national identity and the concept of nationhood are being negotiated, said OSCE High Commissioner on National Minorities Astrid Thors today as she opened a high-level conference to mark 20 years of The Hague Recommendations Regarding the Education Rights of National Minorities.

Underlining how education can contribute to preventing conflicts and to peace-building efforts, Thors said it is crucial that governments and education ministries analyse and anticipate tensions that may arise from competing demands placed on the education system such as questions on the language of instruction. These tensions often reflect the widespread societal debates about the place of national minorities as a whole, she added.   

Thors was addressing the start of a two-day conference, which brings together 180 government representatives, experts, teachers, education professionals, non-governmental actors and other local and international stakeholders active in the field of education, conflict prevention and peace-making to discuss the challenges in adapting education systems to ethnically diverse societies.

Gernot Erler, Special Representative of the Federal Government of Germany for the 2016 OSCE Chairmanship, highlighted how challenges in this area have evolved in the two decades since The Hague Recommendations were launched.

“Today, we should realize more and more how crucial the right treatment of minorities by ensuring equal rights, tolerance and cross-border dialogue, is for preventing conflicts,” he said.

In his keynote speech, Fernand de Varennes, Dean of the Law Faculty of the University of Moncton in Canada underlined that the first HCNM recommendations - The Hague Recommendations - are the building block, the foundation upon which latest, The Ljubljana Guidelines on integration, must be understood. When it comes to education in minority language, he pointed out that to an increasing degree it is already perceived as an internationally recognised human right.

During a panel discussion, Srđan Verbić, Minister of Education, of Serbia, Ketevan Tsikhelashvili, First Deputy State Minister for Reconciliation and Civic Equality of Georgia as well as leading human rights academics, Sia Spiliopoulou Åkermark and Jan de Groof discussed what role education should have when building stable multi-ethnic societies. .    

At the margins of the conference, HCNM premiered its film charting the story of the founding of the Bujanovac Department of Economics as the first multilingual and multi-ethnic higher education institution in southern Serbia. The Department has been supported by the HCNM since its inception. To learn more about the project, watch the film here: www.youtube.com/watch?v=RsiKoZKtZhU

HCNM also screened the winning entries from its first-ever video contest, “Our school, our diversity” during the conference. School pupils across the OSCE region were invited to shoot and script a video of no longer than 60 seconds illustrating why diversity matters in the classroom. Having received 101 submissions from 15 OSCE participating States, HCNM carefully reviewed each entry to select the winning films. Watch the movies at: www.osce.org/hcnm/234801

Related Stories




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Preservation, inspiration and dialogue: Twenty years of The Hague Recommendations Regarding the Education Rights of National Minorities

In promoting education as a tool for conflict prevention, The Hague Recommendations Regarding the Education Rights of National Minorities have offered a toolkit for preservation, inspiration and dialogue, said OSCE High Commissioner on National Minorities (HCNM) Astrid Thors as she opened an expert meeting on 21 April 2016 at The Hague to mark two decades of these ground-breaking Recommendations.

Thors said that the Recommendations had been instrumental in preserving minority education during times of transition and education reforms, and an inspiration in calling for a proactive approach by OSCE participating States towards a progressive yet realistic realization of minority rights in education. She said the Recommendations have also encouraged the involvement of parents and minorities in formulating policies as well as providing a framework for dialogue that is useful for both the participating States and national minorities.

Discussions during the meeting focused on reforms to the education sector and accommodating diversity, language in multilingual educational contexts, and respect for diversity and pluralism in education content.

Participants agreed on the need to further share best practices, promote broader engagement and to adapt to changing environments.

Particularly emphasized was the need for teachers to receive adequate training to be equipped to manage multilingual and multicultural classrooms and for the foundations of education systems to be solid enough to handle adversity, such as budget cuts and extensive reforms.

Acknowledging the role of education in fostering a sense of opportunity and belonging, experts said that the politicization of history is not conducive to conflict prevention. Instead, different views should be allowed as an increased level of historical knowledge and understanding will lead to historical empathy, which can in turn lead to a unifying feeling when the pain of the past is shared.

The experts agreed a set of recommendations for future work in the field of minority education rights, which will be published as follow up to this event.

The expert meeting was held a day after a HCNM-organized conference gathered 180 participants from 32 participating States to assess two decades of The Hague Recommendations. Among the participants of the conference were government officials, experts, teachers, education professionals, non-governmental actors and other local and international stakeholders active in the field of education, conflict prevention and peace-making.

Related Stories




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OSCE Office in Tajikistan presents recommendations from the Customs Code Integrity Assessment

The need for a risk management system for Tajikistan’s Customs Service and simpler procedures for transparency and accountability are key recommendations of an integrity assessment of the Customs Code, presented to international donors, private and international companies and NGOs by the OSCE Office in Tajikistan on 18 July 2016.

The assessment, which was commissioned by the OSCE Office in consultation with government representatives and international development partners, is the third in a series of assessments to examine the administrative codes and legal acts relevant for international business and cross-border trade in Tajikistan. Previous assessments focused on the Tax Code and different administrative legal acts.

Ambassador Markus Müller, the Head of the OSCE Office in Tajikistan welcomed the positive reception of the current anti-corruption assessment not only by international organizations but also within government circles and confirmed the Office’s readiness to work with all the relevant stakeholders involved.

The presentation of the Customs Code assessment followed a series of practical workshops on anti-corruption assessments for experts from the government and NGOs. During these workshops, participants learned how to identify in legislation provisions that might lead to corruption and draft recommendations to eliminate potentially corruptive provisions in law.

The Customs Code assessment is part of a multi-year initiative by the OSCE Office with the objective of designing a training module on anti-corruption assessment to be included in the mandatory training curricula for civil servants. 

Related Stories




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OSCE/ODIHR publishes handbook on follow-up to election observation recommendations

The OSCE Office for Democratic Institutions and Human Rights (ODIHR) on 6 June 2016 released a publication to assist OSCE participating States in better following up on recommendations from final reports by election observation missions.

The Handbook on the Follow-up of Electoral Recommendations – the first tool of its kind for the OSCE region – outlines the key issues when developing and implementing electoral legislation and practice, based on ODIHR’s election observation missions, in line with OSCE commitments and international standards.

"With this handbook, we hope to establish a more systematic approach to follow-up to election observation activities, that is clearer and more consistent and, at the same time, puts emphasis on the implementation of recommendations," said Michael Georg Link, Director of ODIHR. "This handbook can serve as a practical guide for ODIHR in supporting interested participating States in their efforts to follow up on electoral recommendations."

The handbook combines explanations of technical aspects related to follow-up activities with examples of ways ODIHR can help participating States in improving their electoral legislation and processes.

ODIHR developed the handbook as part of its continued efforts to improve its methodology and to increase professionalism in its election observation activities.  All OSCE participating States have committed themselves to promptly follow up on ODIHR election assessments and recommendations.

Related Stories



  • Office for Democratic Institutions and Human Rights
  • Elections
  • News

recommendation

High-level conference marks 20 years of OSCE High Commissioner’s Hague Recommendations on education rights

THE HAGUE, 20 April 2016 - Education is in many ways the space where issues of equality, national identity and the concept of nationhood are being negotiated, said OSCE High Commissioner on National Minorities Astrid Thors today as she opened a high-level conference to mark 20 years of The Hague Recommendations Regarding the Education Rights of National Minorities.

Underlining how education can contribute to preventing conflicts and to peace-building efforts, Thors said it is crucial that governments and education ministries analyse and anticipate tensions that may arise from competing demands placed on the education system such as questions on the language of instruction. These tensions often reflect the widespread societal debates about the place of national minorities as a whole, she added.   

Thors was addressing the start of a two-day conference, which brings together 180 government representatives, experts, teachers, education professionals, non-governmental actors and other local and international stakeholders active in the field of education, conflict prevention and peace-making to discuss the challenges in adapting education systems to ethnically diverse societies.

Gernot Erler, Special Representative of the Federal Government of Germany for the 2016 OSCE Chairmanship, highlighted how challenges in this area have evolved in the two decades since The Hague Recommendations were launched.

“Today, we should realize more and more how crucial the right treatment of minorities by ensuring equal rights, tolerance and cross-border dialogue, is for preventing conflicts,” he said.

In his keynote speech, Fernand de Varennes, Dean of the Law Faculty of the University of Moncton in Canada underlined that the first HCNM recommendations - The Hague Recommendations - are the building block, the foundation upon which latest, The Ljubljana Guidelines on integration, must be understood. When it comes to education in minority language, he pointed out that to an increasing degree it is already perceived as an internationally recognised human right.

During a panel discussion, Srđan Verbić, Minister of Education, of Serbia, Ketevan Tsikhelashvili, First Deputy State Minister for Reconciliation and Civic Equality of Georgia as well as leading human rights academics, Sia Spiliopoulou Åkermark and Jan de Groof discussed what role education should have when building stable multi-ethnic societies. .    

At the margins of the conference, HCNM premiered its film charting the story of the founding of the Bujanovac Department of Economics as the first multilingual and multi-ethnic higher education institution in southern Serbia. The Department has been supported by the HCNM since its inception. To learn more about the project, watch the film here: www.youtube.com/watch?v=RsiKoZKtZhU

HCNM also screened the winning entries from its first-ever video contest, “Our school, our diversity” during the conference. School pupils across the OSCE region were invited to shoot and script a video of no longer than 60 seconds illustrating why diversity matters in the classroom. Having received 101 submissions from 15 OSCE participating States, HCNM carefully reviewed each entry to select the winning films. Watch the movies at: www.osce.org/hcnm/234801

Related Stories




recommendation

Preservation, inspiration and dialogue: Twenty years of The Hague Recommendations Regarding the Education Rights of National Minorities

In promoting education as a tool for conflict prevention, The Hague Recommendations Regarding the Education Rights of National Minorities have offered a toolkit for preservation, inspiration and dialogue, said OSCE High Commissioner on National Minorities (HCNM) Astrid Thors as she opened an expert meeting on 21 April 2016 at The Hague to mark two decades of these ground-breaking Recommendations.

Thors said that the Recommendations had been instrumental in preserving minority education during times of transition and education reforms, and an inspiration in calling for a proactive approach by OSCE participating States towards a progressive yet realistic realization of minority rights in education. She said the Recommendations have also encouraged the involvement of parents and minorities in formulating policies as well as providing a framework for dialogue that is useful for both the participating States and national minorities.

Discussions during the meeting focused on reforms to the education sector and accommodating diversity, language in multilingual educational contexts, and respect for diversity and pluralism in education content.

Participants agreed on the need to further share best practices, promote broader engagement and to adapt to changing environments.

Particularly emphasized was the need for teachers to receive adequate training to be equipped to manage multilingual and multicultural classrooms and for the foundations of education systems to be solid enough to handle adversity, such as budget cuts and extensive reforms.

Acknowledging the role of education in fostering a sense of opportunity and belonging, experts said that the politicization of history is not conducive to conflict prevention. Instead, different views should be allowed as an increased level of historical knowledge and understanding will lead to historical empathy, which can in turn lead to a unifying feeling when the pain of the past is shared.

The experts agreed a set of recommendations for future work in the field of minority education rights, which will be published as follow up to this event.

The expert meeting was held a day after a HCNM-organized conference gathered 180 participants from 32 participating States to assess two decades of The Hague Recommendations. Among the participants of the conference were government officials, experts, teachers, education professionals, non-governmental actors and other local and international stakeholders active in the field of education, conflict prevention and peace-making.

Related Stories




recommendation

Today’s Stock Recommendation: November 14, 2024

The stock that we have today is Marico.




recommendation

Get Music Recommendations

Do you find it hard to find new music artists to fit your taste? Well, now you can let Pandora do the searching for you. Just type in your favorite band or song and let Pandora tell you other artists that are similar. It uses its Music Genome Project Database of more than 10,000 artists. It even plays full length songs for you, not those little 30 sec clips.



This service is similar to Yahoo's Launchcast, however instead of one big radio station, you make separate playlists based on different generes, or tastes. Also Pandora works in Firefox, Launchcast does not.

Dr_Worm_Md: Lanchcast has met its match...

Happy Listening
+MacMan




recommendation

TNP - Colon Cleanse Kit Recommendation

Recommendation for on a colon cleansing kit containing soluble and insoluble fiber, and herbal laxatives.




recommendation

TNP - Parasite Cleanse Kit Recommendation

Recommendation on a Parasite Cleansing Kit containing a variety of herbs that make your body inhospitable to parasites and herbal laxatives.




recommendation

Sun Visor Extensions - Recommendations?

I'd like to get some good sun visor extensions. The Fit visors leave about 10" in the center uncovered, and they are too short to cover the entire side windows. I'd like to get a set that would...



  • 3rd Generation (2015+)

recommendation

Military Transition Tips - Online Entrepreneurial Recommendation

Hi Veterans and Soon to be Veterans,

Many of us seek ways to earn an income online. With the Iraqi
situation, many of our uniformed comrades may be unable to
work due to disabilities and many military members may want
to venture at an on or off line business.

Just recently, I reviewed an online service and was totally amazed
at the customer service and the quality of the product. Many of us
have to take a crash course on how internet marketers make their
incomes online.

Well, after sinking many dollars in various projects, I've found a winner.
The below web site is my number one recommendation for a person that
wants to start researching ways to earn an income online.

Number One Recommendation:

Click Here to Explore An Interesting and Powerful Way to Earn an Income Online.

Best Wishes With Your Military Transition.

Johnetta Matthews
Military Transition Coach
Veterans In Motion


Stay tuned for our upcoming project.




recommendation

Recommendation letter toolkit offering information, tips, and downloadable templates for writing all types of letters of recommendation for business, personal, and college admission purposes.

Recommendation Letter Toolkit That Is The One-And-Only Master Information Source For Writing All Types Of Letters Of Recommendation. If You Need To Write Any Kind of Recommendation Letter, or Letter Of Reference, Whether It's For Business, Work, College Admission, or Home, This Kit Is Your One-Stop Information Source.



  • Home & Family -- Students & School

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You ARE Our Letter Of Recommendation




recommendation

You ARE Our Letter Of Recommendation




recommendation

Health body meets half of watchdog recommendations

Manx Care meets 52% of the recommendations outlined in a series of Care Quality Commission reviews.




recommendation

Mackinac Center Unveils 101 Recommendations to Revitalize Michigan

Sound public policy ideas are needed for families and businesses to thrive




recommendation

Introducing recommendations in Google Search Console

This post announces Search Console recommendations, a new feature that provides websites with optimization opportunities and suggests actions they can take to improve their presence on Google Search.




recommendation

A Clustering Approach for Collaborative Filtering Recommendation Using Social Network Analysis

Collaborative Filtering(CF) is a well-known technique in recommender systems. CF exploits relationships between users and recommends items to the active user according to the ratings of his/her neighbors. CF suffers from the data sparsity problem, where users only rate a small set of items. That makes the computation of similarity between users imprecise and consequently reduces the accuracy of CF algorithms. In this article, we propose a clustering approach based on the social information of users to derive the recommendations. We study the application of this approach in two application scenarios: academic venue recommendation based on collaboration information and trust-based recommendation. Using the data from DBLP digital library and Epinion, the evaluation shows that our clustering technique based CF performs better than traditional CF algorithms.




recommendation

Smart and adaptive website navigation recommendations based on reinforcement learning

Improving website structures is the main task of a website designer. In recent years, numerous web engineering researchers have investigated navigation recommendation systems. Page recommendation systems are critical for mobile website navigation. Accordingly, we propose a smart and adaptive navigation recommendation system based on reinforcement learning. In this system, user navigation history is used as the input for reinforcement learning model. The model calculates a surf value for each page of the website; this value is used to rank the pages. On the basis of this ranking, the website structure is modified to shorten the user navigation path length. Experiments were conducted to evaluate the performance of the proposed system. The results revealed that user navigation paths could be decreased by up to 50% with training on 12 months of data, indicating that users could more easily find a target web page with the help of the proposed adaptive navigation recommendation system.




recommendation

Developing digital health policy recommendations for pandemic preparedness and responsiveness

Disease pandemics, once thought to be historical relics, are now again challenging healthcare systems globally. Of essential importance is sufficiently investing in preparedness and responsiveness, but approaches to such investments vary significantly by country. These variations provide excellent opportunities to learn and prepare for future pandemics. Therefore, we examine digital health infrastructure and the state of healthcare and public health services in relation to pandemic preparedness and responsiveness. The research focuses on two countries: South Africa and the USA. We apply case analysis at the country level toward understanding digital health policy preparedness and responsiveness to a pandemic. We also provide a teaching note at the end for use in guiding students in this area to formulate digital health policy recommendations for pandemic preparedness and responsiveness.




recommendation

Effective Adoption of Tablets in Post-Secondary Education: Recommendations Based on a Trial of iPads in University Classes




recommendation

Study on personalised recommendation method of English online learning resources based on improved collaborative filtering algorithm

In order to improve recommendation coverage, a personalised recommendation method for English online learning resources based on improved collaborative filtering algorithm is studied to enhance the comprehensiveness of personalised recommendation for learning resources. Use matrix decomposition to decompose the user English online learning resource rating matrix. Cluster low dimensional English online learning resources by improving the K-means clustering algorithm. Based on the clustering results, calculate the backfill value of English online learning resources and backfill the information matrix of low dimensional English online learning resources. Using an improved collaborative filtering algorithm to calculate the predicted score of learning resources, personalised recommendation of English online learning resources for users based on the predicted score. Experimental results have shown that this method can effectively backfill English online learning resources, and the resource backfilling effect is excellent, and it has a high recommendation coverage rate.




recommendation

A personalised recommendation method for English teaching resources on MOOC platform based on data mining

In order to enhance the accuracy of teaching resource recommendation results and optimise user experience, a personalised recommendation method for English teaching resources on the MOOC platform based on data mining is proposed. First, the learner's evaluation of resources and resource attributes are abstracted into the same space, and resource tags are established using the Knowledge graph. Then, interest preference constraints are introduced to mine sequential patterns of user historical learning behaviour in the MOOC platform. Finally, a graph neural network is used to construct a recommendation model, which adjusts users' short-term and short-term interest parameters to achieve dynamic personalised teaching recommendation resources. The experimental results show that the accuracy and recall of the resource recommendation results of the research method are always higher than 0.9, the normalised sorting gain is always higher than 0.5.




recommendation

A prototype for intelligent diet recommendations by considering disease and medical condition of the patient

The patient must follow a good diet to lessen the risk of health conditions. The body needs vitamins, minerals, and nutrients for illness prevention. When the human body does not receive the right amount of nutrients, nutritional disorders can develop, which can cause a number of different health issues. Chronic diseases like diabetes and hypertension can be brought on by dietary deficiencies. The human body receives the nutrients from a balanced diet to function properly. This research has a prototype that enables patients to find nutritious food according to their health preferences. It suggests meals based on their preferences for nutrients such as protein, fibre, high-fibre, low-fat, etc., and diseases such as pregnancy and diabetes. The process implements the recommendation based on the patient's profile (content-relied, K-NN), recommendation relied on patients with similar profiles, and recommendation based on the patient's past or recent activity.




recommendation

Recommendation System for an Online Shopping Pay-Later System Using a Multistage Approach: A Case Study from Indonesia

Aim/Purpose: In this study, we developed a recommendation system model designed to support decision-makers in identifying consumers eligible for pay-later options via consensus-based decision-making. This approach was chosen due to the high and complex risks involved, such as delayed payments, challenges in reaching consumers, and issues of bad credit. Background: The “pay-later” option, which allows consumers to postpone payment for e-commerce purchases, offers convenience and flexibility but also introduces several challenges: (i) by enabling payment deferral, merchants face financial risks, including potential delays or defaults in payment, adversely affecting their cash flow and profitability; and (ii) this payment delay can also heighten the risk of fraud, including identity theft and unauthorized transactions. Methodology: This study initiated a risk analysis utilizing the ROAD process. Considering contemporary economic developments and advancements in neural networks, integrating these networks into risk assessment has become crucial. Consequently, model development involved the amalgamation of three deep learning methods – CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks), and LSTM (Long Short-Term Memory) – to address various risk alternatives and facilitate multi-stage decision-making recommendations. Contribution: Our primary contribution is threefold. First, our study identified potential consumers by prioritizing those with the smallest associated problem consequence values. Second, we achieved an optimal recall value using a candidate generator. Last, we categorized consumers to assess their eligibility for pay-later rights. Findings: The findings from this study indicate that our multi-stage recommendation model is effective in minimizing the risk associated with consumer debt repayment. This method of consumer selection empowers policymakers to make informed decisions regarding which consumers should be granted pay-later privileges. Recommendations for Practitioners: This recommendation system is proposed to several key parties involved in the development, implementation, and use of pay-later systems. These parties include E-commerce Executive Management for financial analysis and risk evaluation, the Risk Management Team to assess and manage risks related to users utilizing Pay-Later services, and Sales Managers to integrate Pay-Later services into sales strategies. Recommendation for Researchers: Advanced fraud detection mechanisms were implemented to prevent unauthorized transactions effectively. The goal was to cultivate user confidence in the safety of their financial data by ensuring secure payment processing. Impact on Society: Ensuring consumers understand the terms and conditions of pay-later arrangements, including interest rates, repayment schedules, and potential fees, is crucial. Providing clear and transparent information, along with educating consumers about their financial responsibilities, helps prevent misunderstandings and disputes. Future Research: Our future development plans involve the ongoing assessment of the system’s performance to enhance prediction accuracy. This includes updating models and criteria based on feedback and changes in economic or market conditions. Upholding compliance with security and data privacy regulations necessitates the implementation of protective measures to safeguard consumer information. The implementation of such a system requires careful consideration to ensure fairness and adherence to legal standards. Additionally, it is important to acknowledge that algorithms and models may evolve over time through the incorporation of additional data and continuous evaluations.




recommendation

Personalized Tourism Recommendations: Leveraging User Preferences and Trust Network

Aim/Purpose: This study aims to develop a solution for personalized tourism recommendations that addresses information overload, data sparsity, and the cold-start problem. It focuses on enabling tourists to choose the most suitable tourism-related facilities, such as restaurants and hotels, that match their individual needs and preferences. Background: The tourism industry is experiencing a significant shift towards digitalization due to the increasing use of online platforms and the abundance of user data. Travelers now heavily rely on online resources to explore destinations and associated options like hotels, restaurants, attractions, transportation, and events. In this dynamic landscape, personalized recommendation systems play a crucial role in enhancing user experience and ensuring customer satisfaction. However, existing recommendation systems encounter major challenges in precisely understanding the complexities of user preferences within the tourism domain. Traditional approaches often rely solely on user ratings, neglecting the complex nature of travel choices. Data sparsity further complicates the issue, as users might have limited interactions with the system or incomplete preference profiles. This sparsity can hinder the effectiveness of these systems, leading to inaccurate or irrelevant recommendations. The cold-start problem presents another challenge, particularly with new users who lack a substantial interaction history within the system, thereby complicating the task of recommending relevant options. These limitations can greatly hinder the performance of recommendation systems and ultimately reduce user satisfaction with the overall experience. Methodology: The proposed User-based Multi-Criteria Trust-aware Collaborative Filtering (UMCTCF) approach exploits two key aspects to enhance both the accuracy and coverage of recommendations within tourism recommender systems: multi-criteria user preferences and implicit trust networks. Multi-criteria ratings capture the various factors that influence user preferences for specific tourism items, such as restaurants or hotels. These factors surpass a simple one-star rating and take into account the complex nature of travel choices. Implicit trust relationships refer to connections between users that are established through shared interests and past interactions without the need for explicit trust declarations. By integrating these elements, UMCTCF aims to provide more accurate and reliable recommendations, especially when data sparsity limits the ability to accurately predict user preferences, particularly for new users. Furthermore, the approach employs a switch hybridization scheme, which combines predictions from different components within UMCTCF. This scheme leads to a more robust recommendation strategy by leveraging diverse sources of information. Extensive experiments were conducted using real-world tourism datasets encompassing restaurants and hotels to evaluate the effectiveness of UMCTCF. The performance of UMCTCF was then compared against baseline methods to assess its prediction accuracy and coverage. Contribution: This study introduces a novel and effective recommendation approach, UMCTCF, which addresses the limitations of existing methods in personalized tourism recommendations by offering several key contributions. First, it transcends simple item preferences by incorporating multi-criteria user preferences. This allows UMCTCF to consider the various factors that users prioritize when making tourism decisions, leading to a more comprehensive understanding of user choices and, ultimately, more accurate recommendations. Second, UMCTCF leverages the collective wisdom of users by incorporating an implicit trust network into the recommendation process. By incorporating these trust relationships into the recommendation process, UMCTCF enhances its effectiveness, particularly in scenarios with data sparsity or new users with limited interaction history. Finally, UMCTCF demonstrates robustness towards data sparsity and the cold-start problem. This resilience in situations with limited data or incomplete user profiles makes UMCTCF particularly suitable for real-world applications in the tourism domain. Findings: The results consistently demonstrated UMCTCF’s superiority in key metrics, effectively addressing the challenges of data sparsity and new users while enhancing both prediction accuracy and coverage. In terms of prediction accuracy, UMCTCF yielded significantly more accurate predictions of user preferences for tourism items compared to baseline methods. Furthermore, UMCTCF achieved superior coverage compared to baseline methods, signifying its ability to recommend a wider range of tourism items, particularly for new users who might have limited interaction history within the system. This increased coverage has the potential to enhance user satisfaction by offering a more diverse and enriching set of recommendations. These findings collectively highlight the effectiveness of UMCTCF in addressing the challenges of personalized tourism recommendations, paving the way for improved user satisfaction and decision-making within the tourism domain. Recommendations for Practitioners: The proposed UMCTCF approach offers a potential opportunity for tourism recommendation systems, enabling practitioners to create solutions that prioritize the needs and preferences of users. By incorporating UMCTCF into online tourism platforms, tourists can utilize its capabilities to make well-informed decisions when selecting tourism-related facilities. Furthermore, UMCTCF’s robust design allows it to function effectively even in scenarios with data sparsity or new users with limited interaction history. This characteristic makes UMCTCF particularly valuable for real-world applications, especially in scenarios where these limitations are common obstacles. Recommendation for Researchers: The success of UMCTCF can open up new avenues in personalized recommendation research. One promising direction lies in exploring the integration of additional contextual information, such as temporal (time-based) or location-based information. By incorporating these elements, the model could be further improved, allowing for even more personalized recommendations. Furthermore, exploring the potential of UMCTCF in domains other than tourism has considerable significance. By exploring its effectiveness in other e-commerce domains, researchers can broaden the impact of UMCTCF and contribute to the advancement of personalized recommendation systems across various industries. Impact on Society: UMCTCF has the potential to make a positive impact on society in various ways. By delivering accurate and diverse recommendations that are tailored to individual user preferences, UMCTCF fosters a more positive and rewarding user experience with tourism recommendation systems. This can lead to increased user engagement with tourism platforms, ultimately enhancing overall satisfaction with travel planning. Furthermore, UMCTCF enables users to make more informed decisions through broader and more accurate recommendations, potentially reducing planning stress and leading to more fulfilling travel experiences. Future Research: Expanding upon the success of UMCTCF, future research activities can explore several promising paths. Enriching UMCTCF with various contextual data, such as spatial or location-based data, to enhance recommendation accuracy and relevance. Leveraging user-generated content, like reviews and social media posts, could provide deeper insights into user preferences and sentiments, improving personalization. Additionally, applying UMCTCF in various e-commerce domains beyond tourism, such as online shopping, entertainment, and healthcare, could yield valuable insights and enhance recommendation systems. Finally, exploring the integration of optimization algorithms could improve both recommendation accuracy and efficiency.




recommendation

Fast fuzzy C-means clustering and deep Q network for personalised web directories recommendation

This paper proposes an efficient solution for personalised web directories recommendation using fast FCM+DQN. At first, web directory usage file obtained from given dataset is fed into the accretion matrix computation module, where visitor chain matrix, visitor chain binary matrix, directory chain matrix and directory chain binary matrix are formulated. In this, directory grouping is accomplished based on fast FCM and matching among query and group is conducted based on Kumar Hassebrook and Kulczynski similarity. The user preferred directory is restored at this stage and at last, personalised web directories are recommended to the visitors by means of DQN. The proposed approach has received superior results with respect to maximum accuracy of 0.910, minimum mean squared error (MSE) of 0.0206 and root mean squared error (RMSE) of 0.144. Although the system offered magnificent outcomes, it failed to order web directories in the form of highly, medium and low interested directories.




recommendation

Citizen science might be voluntary but results are not always open: Recommendations to improve data openness

Being voluntary, citizen science work is often automatically assumed to also be openly available. Contrary to the expectations, however, a recent study of the datasets available from volunteers on the Global Biodiversity Information Facility (GBIF) prove to be among the most restrictive in how they can be used.

There is a high demand for biodiversity observation data to inform conservation and environmental policy, and citizen scientists generate the vast majority of terrestrial biodiversity observations. The analysis on GBIF showed that citizen science datasets comprise 10% of datasets on GBIF, but actually account for the impressive 60% of all observations.

Invaluable as a resource for conservationists and biodiversity scientists, however, these resources unfortunately often come with restrictions for re-use. Although the vast majority of citizen science datasets did not include a license statement, as a whole, they ranked low on the openness of their data.

The assumption that voluntary data collection leads to data sharing is not only not reflecting the real situation, but also does not recognize the wishes and motivations of those who collect data, nor does it respects the crucial contributions of these data to long-term monitoring of biodiversity trends.

In a recent commentary paper, published in the Journal of Applied Ecology, EU BON partners suggest ways to improve data openness. According to the researchers citizen scientists should be recognised in ways that correspond with their motivations, in addition its is advisable that organisations that manage these data should make their data sharing policies open and explicit.

Original Research:

Groom, Q., Weatherdon, L. & Geijzendorffer, I. (2016) Is citizen science an open science in the case of biodiversity observations? Journal of Applied Ecology. DOI: 10.1111/1365-2664.12767





recommendation

New RIO contribution: Summary report and strategy recommendations for EU citizen science gateway for biodiversity data

A new report has been added to the dedicated EU BON Outputs Collection in the innovative RIO journal. The paper reviews biodiversity related citizen science in Europe, specifically the data mobilization aspect and gives an overview of citizen science related activities in the project EU BON.

In addition, recommendations for a Pan-European citizen science gateway and data mobilization efforts will be given, with the aim of filling in existing biodiversity data gaps. Also the EU BON citizen science gateway is described, which is a part of the European Biodiversity Portal (http://biodiversity.eubon.eu) with citizen science related products. 

Citizen science is a vital element for EU BON with regards to biodiversity information sources that provide data for research and policy-making. CS data are used by many research institutes, public organisations and local data portals. CS data offer volumes of field data, which would otherwise not be possible to collect with the limited resources of research institutes and agencies. Thus one of the main targets for EU BON is to make CS data available through various efforts, for example through networking and by using new technologies for data mobilisation. Overall, one of the main goals of a common EU citizen science Gateway is to integrate CS data for European biodiversity research. EU BON also seeks to develop a strategy for achieving this goal and encourages educational aspects of citizen science through networking and the development of tools.

Original Source:

Runnel V, Wetzel F, Groom Q, Koch W, Pe’er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563





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