output
20152023
most citedBuilding Human Values into Recommender Systems: An Interdisciplinary Synthesis

107 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.IRShow all

2 papers · 1 filter

cs.IR2022★ 107 cited

Building Human Values into Recommender Systems: An Interdisciplinary Synthesis

Jonathan Stray, Alon Halevy, Parisa Assar +18

Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effe…

cs.IR2019★ 2 cited

Deep Joint Embeddings of Context and Content for Recommendation

Miklas S. Kristoffersen, Jacob L. Wieland, Sven E. Shepstone +2

This paper proposes a deep learning-based method for learning joint context-content embeddings (JCCE) with a view to context-aware recommendations, and demonstrate its application…