1.1k citations · 4k across the 47 of their papers we have counts for
Showing 2016 · cs.LGShow all
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cs.LG2016★ 74 cited
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
Hanjun Dai, Yichen Wang, Rakshit Trivedi +1
Recommender systems often use latent features to explain the behaviors of users and capture the properties of items. As users interact with different items over time, user and item…
cs.LG2016★ 498 cited
Discriminative Embeddings of Latent Variable Models for Structured Data
Hanjun Dai, Bo Dai, Le Song
Kernel classifiers and regressors designed for structured data, such as sequences, trees and graphs, have significantly advanced a number of interdisciplinary areas such as computa…