Knowledge Graph Context-Enhanced Diversified Recommendation

Author:

Liu Xiaolong1ORCID,Yang Liangwei1ORCID,Liu Zhiwei2ORCID,Yang Mingdai1ORCID,Wang Chen1ORCID,Peng Hao3ORCID,Yu Philip S.1ORCID

Affiliation:

1. University of Illinois Chicago, Chicago, USA

2. Salesforce AI Research, Palo Alto, USA

3. Beihang University & Kunming University of Science and Technology, Beijing, China

Funder

General Projects of Basic Research in Yunnan Province

Beijing Natural Science Foundation

National Science Foundation

Yunnan Provincial Major Science and Technology Special Plan Projects

Fundamental Research Funds for the Central Universities

National Key R&D Program of China

National Natural Science Foundation of China

S&T Program of Hebei

Publisher

ACM

Reference47 articles.

1. Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, and Zheng Wen. 2015. Optimal Greedy Diversity for Recommendation. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25--31, 2015, Qiang Yang and Michael J. Wooldridge (Eds.). AAAI Press, 1742--1748.

2. Laming Chen, Guoxin Zhang, and Eric Zhou. 2018a. Fast greedy map inference for determinantal point process to improve recommendation diversity. Advances in Neural Information Processing Systems , Vol. 31 (2018).

3. Laming Chen, Guoxin Zhang, and Eric Zhou. 2018b. Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3--8, 2018, Montré al, Canada, Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, and Roman Garnett (Eds.). 5627--5638.

4. Wide & Deep Learning for Recommender Systems

5. Learning to Recommend Accurate and Diverse Items

Cited by 1 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

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