<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">P. RAM MOHAN RAO</style></author><author><style face="normal" font="default" size="100%">A. MOUNIKA</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">RECOMMENDED SYSTEM OF COLLABORATIVE FILTERING BASED IN SOCIAL NETWORKS</style></title><secondary-title><style face="normal" font="default" size="100%">Neural, Parallel, and Scientific Computations</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://acadsol.eu/npsc/articles/26/3/2.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">26</style></volume><pages><style face="normal" font="default" size="100%">10</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;&amp;nbsp;Sharing Information Among Friends Using different online Social&amp;nbsp;Network such as What’s Up, Twitter Face book between two are more friends not&amp;nbsp;only sharing profile update ,Audio, Videos with her ,his direct friends are mutual&amp;nbsp;Friends ,Online Social Network connect with globally direct are Indirect Friends Using&amp;nbsp;Online social network sharing any product are comment and ranking it process&amp;nbsp;Unique Challenge and opportunities for recommendation. This Experiment with real&amp;nbsp;online voting trace and we demonstrate the OSN Network group of people seeing the&amp;nbsp;Information online voting and their personal opinion will be Shared in that OSN Network&amp;nbsp;Scalability and Real information gathered from their personal friend and mutual&amp;nbsp;friend feedback participate in online Voting process. In our experiments End to end&amp;nbsp;user information we know that we can simply identify the fake user are Real user can&amp;nbsp;while users interest for hot voting can be better mined then we further purpose a&amp;nbsp;hybrid RS bagging different approaches to achieve the best top-k hit.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">247</style></section></record></records></xml>