Incorporating Knowledge and Content Information to Boost News Recommendation
Incorporating Knowledge and Content Information to Boost News Recommendation
复制标题
融合知识与内容信息，提升新闻推荐
DOI：
10.1007/978-3-030-60450-9_35
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发表时间：
2020-10
期刊：
影响因子：
--
通讯作者：
Shaoping Ma
中科院分区：
文献类型：
--
作者：
Zhen Wang;Weizhi Ma;Min Zhang;Weipeng Chen;Jingfang Xu;Yiqun Liu;Shaoping Ma
News recommendation, which aims to help users find the news they are interested in, is essential for online news platforms to alleviate the information overload problem. News is full of textual information with some knowledge entities, so recent studies try to leverage knowledge graphs (KGs) as side information to better model user preferences over news. However, most knowledge-enhanced methods assume that users are interested in the knowledge entities that occurred in the news. In real scenarios, users may like the news because of the news content rather than the knowledge entities. To take both knowledge and content factors into consideration, we propose a news recommendation method, namely knowledge and content aware network for news recommendation (KCNR). KCNR represents user and news in terms of knowledge and content, then it predicts the weight of user preferences on knowledge and content via a user preferences prediction mechanism. Besides, based on the weight of user preferences on knowledge, it extends user preferences along with entities in knowledge graphs. Experiments on two real-world datasets show that our approach achieves significant improvements over several state-of-the-art baselines in news recommendation.
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DOI：
10.1145/3308558.3313607
发表时间：
2019-03
期刊：
The World Wide Web Conference
影响因子：
--
作者：
Weizhi Ma;Min Zhang;Yue Cao;Woojeong Jin;Chenyang Wang;Yiqun Liu;Shaoping Ma;Xiang Ren
通讯作者：
Weizhi Ma;Min Zhang;Yue Cao;Woojeong Jin;Chenyang Wang;Yiqun Liu;Shaoping Ma;Xiang Ren
统一面向任务的知识图谱学习和推荐
影响因子：
3.9
作者：
Li Qianyu;Tang Xiaoli;Wang Tengyun;Yang Haizhi;Song Hengjie
通讯作者：
Song Hengjie
DOI：
10.24963/ijcai.2017/406
发表时间：
2017-08
期刊：
--
影响因子：
--
作者：
Jin Wang;Zhongyuan Wang;Dawei Zhang;Jun Yan
通讯作者：
Jin Wang;Zhongyuan Wang;Dawei Zhang;Jun Yan
DOI：
10.1145/3397271.3401040
发表时间：
2020-07
期刊：
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
影响因子：
--
作者：
Chong Chen;Min Zhang;Weizhi Ma;Yiqun Liu;Shaoping Ma
通讯作者：
Chong Chen;Min Zhang;Weizhi Ma;Yiqun Liu;Shaoping Ma
DOI：
10.18653/v1/p18-2023
发表时间：
2018-05
期刊：
ArXiv
影响因子：
--
作者：
Shen Li;Zhe Zhao;Renfen Hu;Wensi Li;Tao Liu;Xiaoyong Du
通讯作者：
Shen Li;Zhe Zhao;Renfen Hu;Wensi Li;Tao Liu;Xiaoyong Du