60 citations · 83 across the 2 of their papers we have counts for
4 papers
Off-policy Bandits with Deficient Support
Noveen Sachdeva, Yi Su, Thorsten Joachims
Learning effective contextual-bandit policies from past actions of a deployed system is highly desirable in many settings (e.g. voice assistants, recommendation, search), since it…
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements
Noveen Sachdeva, Julian McAuley
We investigate a growing body of work that seeks to improve recommender systems through the use of review text. Generally, these papers argue that since reviews 'explain' users' op…
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco +1
Variational autoencoders were proven successful in domains such as computer vision and speech processing. Their adoption for modeling user preferences is still unexplored, although…
Attentive Neural Architecture Incorporating Song Features For Music Recommendation
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high…