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.

Back in the day if you wanted your website or blog to get indexed fast by the search engines, you would submit it to website directories. Are they still worth submitting to today? For the most part yes. Submitting your site to website directories can still be an effective way at building back links that’ll help you rank higher in search results and should be part of your overall SEO strategy. This is especially true for new websites and blogs were getting back links from other webmasters can be difficult..........................