Typically, users interact with database systems by formulating queries. However, many times users do not have a clear understanding of their information needs or the exact content...
— As the academic world moves away from physical journals and proceedings towards online document repositories, the ability to efficiently locate work of interest among the torr...
Jayanthkumar Kannan, Beverly Yang, Scott Shenker, ...
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
We study the problem of designing a mechanism to rank items in forums by making use of the user reviews such as thumb and star ratings. We compare mechanisms where forum users rat...
Anish Das Sarma, Atish Das Sarma, Sreenivas Gollap...