%0 Journal Article %1 lmohan2014streaming %A L. Mohan, D. Gunaseelan %A Kumaresan, P. K. %D 2014 %E kr. Thakur, Ajay %J Weekly Science Research Journal %K (UDD) Comprehensive Detection Duplicate Unsupervised empirical evaluation %N 33 %T Data Streaming In Page Ranking For Ontology Based Search Engine %U http://weeklyscience.org/UploadedArticle/77.pdf %V 1 %X The majority of algorithms proposed in recommender systems literature has focused on improving recommendation accuracy, other important aspects of recommendation quality, the diversity of recommendations, have often been overlooked. Number of item ranking techniques that can generatesubstantially more diverse recommendations across all users while maintaining comparable levels of recommendation accuracy. Comprehensive empirical evaluation consistently shows the diversity gains of the proposed techniques using several real-world rating data sets and different rating prediction algorithms. We present an unsupervised, online record matching method, UDD, which can effectively identify duplicates from the query result records of multiple Web databases

@article{lmohan2014streaming, abstract = {The majority of algorithms proposed in recommender systems literature has focused on improving recommendation accuracy, other important aspects of recommendation quality, the diversity of recommendations, have often been overlooked. Number of item ranking techniques that can generatesubstantially more diverse recommendations across all users while maintaining comparable levels of recommendation accuracy. Comprehensive empirical evaluation consistently shows the diversity gains of the proposed techniques using several real-world rating data sets and different rating prediction algorithms. We present an unsupervised, online record matching method, UDD, which can effectively identify duplicates from the query result records of multiple Web databases}, added-at = {2014-08-16T12:28:00.000+0200}, author = {L. Mohan, D. Gunaseelan and Kumaresan, P. K.}, biburl = {https://www.bibsonomy.org/bibtex/2566a5357bd7921a7dd159e4684ac2885/sciencejournal}, editor = {kr. Thakur, Ajay}, interhash = {69619f358fcd9bced6366f905cee1cd3}, intrahash = {566a5357bd7921a7dd159e4684ac2885}, journal = { Weekly Science Research Journal}, keywords = {(UDD) Comprehensive Detection Duplicate Unsupervised empirical evaluation}, month = {March}, number = 33, timestamp = {2014-08-16T12:28:00.000+0200}, title = {Data Streaming In Page Ranking For Ontology Based Search Engine }, url = {http://weeklyscience.org/UploadedArticle/77.pdf}, volume = 1, year = 2014 }