Weave&Rec

Author:

Khattar Dhruv1,Kumar Vaibhav1,Varma Vasudeva1,Gupta Manish1

Affiliation:

1. International Institute of Information Technology Hyderabad, Hyderabad, India

Publisher

ACM

Reference18 articles.

1. Robert M Bell and Yehuda Koren. 2007. Improved Neighborhood-based Collaborative Filtering. In KDD. 7--14. Robert M Bell and Yehuda Koren. 2007. Improved Neighborhood-based Collaborative Filtering. In KDD. 7--14.

2. Minmin Chen Zhixiang Xu Fei Sha and Kilian Q Weinberger. 2012. Marginalized Denoising Autoencoders for Domain Adaptation. In ICML. 767--774. Minmin Chen Zhixiang Xu Fei Sha and Kilian Q Weinberger. 2012. Marginalized Denoising Autoencoders for Domain Adaptation. In ICML. 767--774.

3. Ali Mamdouh Elkahky Yang Song and Xiaodong He. 2015. A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems. In WWW. 278--288. 10.1145/2736277.2741667 Ali Mamdouh Elkahky Yang Song and Xiaodong He. 2015. A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems. In WWW. 278--288. 10.1145/2736277.2741667

4. Neural Collaborative Filtering

5. Fast Matrix Factorization for Online Recommendation with Implicit Feedback

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SJORS: A Semantic Recommender System for Journalists;Business & Information Systems Engineering;2023-12-21

2. Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching;ACM Transactions on Information Systems;2023-08-18

3. HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

4. Prompt Learning for News Recommendation;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

5. Research of News Recommendation Algorithms based on Deep Learning;Highlights in Science, Engineering and Technology;2023-04-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3