Pulse Journal Club Active Debates Trending Explore Researchers

Download the App

Join discussions, follow papers, and never miss your next session.

Download on theApp Store

© Synapse Social LLC, 2026

Home Explore Journal Club Trending

⌘+K

Bayesian Personalized Ranking with Multi-Channel User Feedback | Synapse

September 1, 2016

Bayesian Personalized Ranking with Multi-Channel User Feedback

Key Points

Key points are not available for this paper at this time.

Abstract

Contains fulltext: 161872. pdf (Publisher’s version) (Open Access)

Ask AI

Mark Helpful

Bookmark

Relay

Cite This Study

Loni et al. (Thu,) studied this question.

synapsesocial.com/papers/697b9d6001bc692f6bab91c6 https://doi.org/https://doi.org/10.1145/2959100.2959163

Ask AI

Mark Helpful

Bookmark

Relay

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Using graded implicit feedback for bayesian personalized ranking2014 · 62 citations
2Performance of recommender algorithms on top-n recommendation tasks2010 · 1,432 citations
3Improving User Topic Interest Profiles by Behavior Factorization2015 · 157 citations
4WrapRec2014 · 7 citations
5BPR: Bayesian Personalized Ranking from Implicit Feedback2012 · 4,371 citations