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# Temporal Collaborative Ranking Via Personalized Transformer

15 Aug 2019wuliwei9278/SSE-PT

Recent advances in deep learning, especially the discovery of various attention mechanisms and newer architectures in addition to widely used RNN and CNN in natural language processing, have allowed us to make better use of the temporal ordering of items that each user has engaged with.

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# Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

17 Jul 2017vanzytay/WWW2018_LRML

Our model, LRML (\textit{Latent Relational Metric Learning}) is a novel metric learning approach for recommendation.

Ranked #1 on Recommendation Systems on Netflix (HR@10 metric)

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# Advances in Collaborative Filtering and Ranking

27 Feb 2020wuliwei9278/SQL-Rank

In this dissertation, we cover some recent advances in collaborative filtering and ranking.

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# SQL-Rank: A Listwise Approach to Collaborative Ranking

In this paper, we propose a listwise approach for constructing user-specific rankings in recommendation systems in a collaborative fashion.

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# Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons

16 Jul 2015dhpark22/collranking

In this paper we consider the collaborative ranking setting: a pool of users each provides a small number of pairwise preferences between $d$ possible items; from these we need to predict preferences of the users for items they have not yet seen.

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