General factorization framework for context-aware recommendations-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

General factorization framework for context-aware recommendations

Published:2015-05-07 Issue:2 Volume:30 Page:342-371
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Hidasi Balázs,Tikk Domonkos

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10618-015-0417-y.pdf

Reference30 articles.

1. Adomavicius G, Tuzhilin A (2008) Context-aware recommender systems. In: Recsys’08: ACM conference on recommender systems. pp 335–336

2. Adomavicius G, Sankaranarayanan R, Sen S, Tuzhilin A (2005) Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans Inf Syst 23(1):103–145

3. Bell R, Koren Y (2007) Scalable collaborative filtering with jointly derived neighborhood interpolation weights. In: ICDM’07: IEEE international conference on data mining. pp 43–52

4. Burke R (2007) Hybrid web recommender systems. In: The adaptive web. Springer, Berlin, pp 377–408

5. Celma O (2010) Music recommendation and discovery in the long tail. Springer, Berlin

Cited by 69 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. SecDM: A Secure and Lossless Human Mobility Prediction System;IEEE Transactions on Services Computing;2024-07

2. Collaborative Sequential Recommendations via Multi-view GNN-transformers;ACM Transactions on Information Systems;2024-06-25

3. Kiosk Recommend System Based on Self-Supervised Representation Learning of User Behaviors in Offline Retail;IEEE Internet of Things Journal;2024-05-15

4. SEA-GNN: Sequence Extension Augmented Graph Neural Network for Sequential Recommendation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

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