output
20152022
most citedA Survey on Reinforcement Learning for Recommender Systems

82 citations

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

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Showing 2015 · cs.CLShow all

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cs.CL2015

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

Shaohua Li, Jun Zhu, Chunyan Miao

Most existing word embedding methods can be categorized into Neural Embedding Models and Matrix Factorization (MF)-based methods. However some models are opaque to probabilistic in…