output
20102026
most citedLearning Intents behind Interactions with Knowledge Graph for Recommendation

579 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 2018 · cs.IRShow all

2 papers · 2 filters

cs.IR2018★ 8 cited

Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search

Grigor Aslanyan, Utkarsh Porwal

The Unbiased Learning-to-Rank framework has been recently proposed as a general approach to systematically remove biases, such as position bias, from learning-to-rank models. The m…

cs.IR2018★ 80 cited

Explainable Reasoning over Knowledge Graphs for Recommendation

Xiang Wang, Dingxian Wang, Canran Xu +3

Incorporating knowledge graph into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity be…