Item2Vec: Neural Item Embedding for Collaborative Filtering

14 March 2016

Papers citing "Item2Vec: Neural Item Embedding for Collaborative Filtering"

34 / 34 papers shown

Title
Bridging Conversational and Collaborative Signals for Conversational Recommendation A. Rabiah Nafis Sadeq Julian McAuley 84 0 0 09 Dec 2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering H. Jung Hyunsoo Cho Myungje Choi Joowon Lee Jung Ho Park Myungjoo Kang 31 0 0 23 Apr 2024
DistDNAS: Search Efficient Feature Interactions within 2 Hours Tunhou Zhang W. Wen Igor Fedorov Xi Liu Buyun Zhang ... Wen-Yen Chen Yiping Han Feng Yan Hai Helen Li Yiran Chen 15 1 0 01 Nov 2023
Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative Filtering Ruilin Yuan Leya Li Yuanzhe Cai AI4TS 19 0 0 22 Oct 2023
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond Oren Barkan Tal Reiss Jonathan Weill Ori Katz Roy Hirsch Itzik Malkiel Noam Koenigstein 42 6 0 28 Aug 2023
Representation Learning via Variational Bayesian Networks Oren Barkan Avi Caciularu Idan Rejwan Ori Katz Jonathan Weill Itzik Malkiel Noam Koenigstein BDL 24 15 0 28 Jun 2023
Preference or Intent? Double Disentangled Collaborative Filtering Chao Wang Hengshu Zhu Dazhong Shen Wei Yu Wu Hui Xiong 36 1 0 18 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 22 3 0 09 Apr 2023
Two Is Better Than One: Dual Embeddings for Complementary Product Recommendations Giorgi Kvernadze P. A. Sudyanti N. Subedi Mohammadtaghi Hajiaghayi 20 2 0 28 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 16 6 0 19 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP Jie Chen Shouzhen Chen Mingyuan Bai Junbin Gao Junping Zhang Jian Pu 40 10 0 18 Oct 2022
Mitigating Filter Bubbles within Deep Recommender Systems V. Anand Matthew Y. R. Yang Zhanzhan Zhao 13 2 0 16 Sep 2022
Supervised Contrastive Learning for Recommendation Chun Yang 13 37 0 10 Jan 2022
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates Oren Barkan Roy Hirsch Ori Katz Avi Caciularu Jonathan Weill Noam Koenigstein 22 8 0 12 Dec 2021
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities Chao Fan Mengke Zhang Ali Mostafavi AI4CE 18 13 0 24 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 42 22 0 20 Sep 2021
RikoNet: A Novel Anime Recommendation Engine B. Soni Debangan Thakuria Nilutpal Nath Navarun Das Bhaskarananda Boro 24 4 0 24 Jun 2021
Explore User Neighborhood for Real-time E-commerce Recommendation Xu Xie Fei Sun Xiaoyong Yang Zhao Yang Jinyang Gao Wenwu Ou Bin Cui 24 19 0 28 Feb 2021
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing Haoyang Bi Haiping Ma Zhenya Huang Yu Yin Qi Liu Enhong Chen Yu Su Shijin Wang 14 37 0 15 Jan 2021
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning Jiangcheng Qin Baisong Liu FedML 21 19 0 11 Nov 2020
Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network Xing Wang Yijun Wang Bin Weng Aleksandr Vinel AIFin AI4TS 19 11 0 29 Sep 2020
Tuning Word2vec for Large Scale Recommendation Systems B. Chamberlain Emanuele Rossi Dan Shiebler Suvash Sedhain M. Bronstein 22 20 0 24 Sep 2020
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens Saman Forouzandeh M. Rostami K. Berahmand 13 90 0 15 Jul 2020
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network Zhiwei Liu Mengting Wan Stephen D. Guo Kannan Achan Philip S. Yu 23 68 0 14 Jan 2020
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations Aditya Mantha Yokila Arora Shubham Gupta Praveenkumar Kanumala Zhiwei Liu Stephen D. Guo Kannan Achan 26 8 0 24 Oct 2019
Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision A. Sadeghian Shervin Minaee Ioannis Partalas Xinxin Li D. Wang Brooke Cowan DML SSL 3DV 19 8 0 30 Sep 2019
Knowledge-aware Complementary Product Representation Learning Da Xu Chuanwei Ruan Jason H. D. Cho Evren Körpeoglu Sushant Kumar Kannan Achan DML 25 26 0 16 Mar 2019
Deep neural network marketplace recommenders in online experiments Simen Eide Ning Zhou HAI 27 14 0 06 Sep 2018
Word2Vec applied to Recommendation: Hyperparameters Matter Hugo Caselles-Dupré Florian Lesaint Jimena Royo-Letelier VLM 16 154 0 11 Apr 2018
Attention-based Mixture Density Recurrent Networks for History-based Recommendation Tiantian Wang Kyunghyun Cho HAI 19 8 0 22 Sep 2017
Customer Lifetime Value Prediction Using Embeddings B. Chamberlain Ângelo Cardoso C. H. B. Liu Roberto Pagliari M. Deisenroth 6 84 0 07 Mar 2017
CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations Oren Barkan Noam Koenigstein E. Yogev Ori Katz VLM 50 4 0 01 Nov 2016
Bayesian Neural Word Embedding Oren Barkan BDL 131 87 0 21 Mar 2016