23 citations · 46 across the 5 of their papers we have counts for
4 papers · 1 filter
Intent term selection and refinement in e-commerce queries
Saurav Manchanda, Mohit Sharma, George Karypis
In e-commerce, a user tends to search for the desired product by issuing a query to the search engine and examining the retrieved results. If the search engine was successful in co…
Learning from Sets of Items in Recommender Systems
Mohit Sharma, F. Maxwell Harper, George Karypis
Most of the existing recommender systems use the ratings provided by users on individual items. An additional source of preference information is to use the ratings that users prov…
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation
Mohit Sharma, Jiayu Zhou, Junling Hu +1
Recommending new items to existing users has remained a challenging problem due to absence of user's past preferences for these items. The user personalized non-collaborative metho…
Adaptive Matrix Completion for the Users and the Items in Tail
Mohit Sharma, George Karypis
Recommender systems are widely used to recommend the most appealing items to users. These recommendations can be generated by applying collaborative filtering methods. The low-rank…