60 citations · 121 across the 5 of their papers we have counts for
Showing cs.IRShow all
3 papers · 1 filter
cs.IR2021★ 1 cited
SVP-CF: Selection via Proxy for Collaborative Filtering Data
Noveen Sachdeva, Carole-Jean Wu, Julian McAuley
We study the practical consequences of dataset sampling strategies on the performance of recommendation algorithms. Recommender systems are generally trained and evaluated on sampl…
cs.IR2020★ 60 cited
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…
cs.IR2018
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…