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1603.04259
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Item2Vec: Neural Item Embedding for Collaborative Filtering
14 March 2016
Oren Barkan
Noam Koenigstein
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Papers citing
"Item2Vec: Neural Item Embedding for Collaborative Filtering"
50 / 131 papers shown
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175
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Revisiting Graph Projections for Effective Complementary Product Recommendation
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Jorge Sanchez
235
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10 Jun 2025
Bridging Conversational and Collaborative Signals for Conversational Recommendation
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515
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241
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263
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182
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230
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Dingming Xue
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248
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23 Apr 2024
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204
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356
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298
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301
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GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
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Haowen Wang
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237
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Yiping Han
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Yiran Chen
425
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01 Nov 2023
LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement Recommendation
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Yifan Zeng
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259
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Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models
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Yuval Asher
Amit Eshel
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Noam Koenigstein
269
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Deep Integrated Explanations
International Conference on Information and Knowledge Management (CIKM), 2023
Oren Barkan
Yehonatan Elisha
Jonathan Weill
Yuval Asher
Amit Eshel
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FAtt
456
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Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative Filtering
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Yuanzhe Cai
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148
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22 Oct 2023
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond
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275
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Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation
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155
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Representation Learning via Variational Bayesian Networks
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Avi Caciularu
Idan Rejwan
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294
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Social World Knowledge: Modeling and Applications
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Nir Lotan
Einat Minkov
243
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CCGen: Explainable Complementary Concept Generation in E-Commerce
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Yifan Gao
Zheng Li
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250
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Wei Wu
Hui Xiong
181
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Junjie Zhang
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Hongyu Lu
Ruobing Xie
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410
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15 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?
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Da Xu
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304
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09 Apr 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter
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Pradeep Prabakar
Manuel Serrano Rebuelta
Lucas Rosen
Federico Monti
...
Tomo Lazovich
J. Raj
Y. Shrinivasan
Hao Li
Thomas Markovich
448
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27 Feb 2023
Job recommendations: benchmarking of collaborative filtering methods for classifieds
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A. Filipowska
Tomasz Górecki
V. Dubrov
267
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Two Is Better Than One: Dual Embeddings for Complementary Product Recommendations
Giorgi Kvernadze
P. A. Sudyanti
N. Subedi
Mohammadtaghi Hajiaghayi
273
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Influential Recommender System
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Haoren Zhu
Hao Ge
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Lee
146
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Blurring-Sharpening Process Models for Collaborative Filtering
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Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
251
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CASPR: Customer Activity Sequence-based Prediction and Representation
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Sahil Bhatnagar
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D. Kowalczyk
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244
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215
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242
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Dvir Ginzburg
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218
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253
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136
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