71 citations · 72 across the 4 of their papers we have counts for
4 papers
Bayesian Prior Learning via Neural Networks for Next-item Recommendation
Manoj Reddy Dareddy, Zijun Xue, Nicholas Lin +1
Next-item prediction is a a popular problem in the recommender systems domain. As the name suggests, the task is to recommend subsequent items that a user would be interested in gi…
How Much Are You Willing to Share? A "Poker-Styled" Selective Privacy Preserving Framework for Recommender Systems
Manoj Reddy Dareddy, Ariyam Das, Junghoo Cho +1
Most industrial recommender systems rely on the popular collaborative filtering (CF) technique for providing personalized recommendations to its users. However, the very nature of…
Improving Image Search based on User Created Communities
Amruta Joshi, Junghoo Cho, Dragomir Radev +1
Tag-based retrieval of multimedia content is a difficult problem, not only because of the shorter length of tags associated with images and videos, but also due to mismatch in the…
Shuffling a Stacked Deck: The Case for Partially Randomized Ranking of Search Engine Results
Sandeep Pandey, Sourashis Roy, Christopher Olston +2
In-degree, PageRank, number of visits and other measures of Web page popularity significantly influence the ranking of search results by modern search engines. The assumption is th…