NEWS RECOMMENDATION SYSTEM USING PERSONALIZED SHORT TERM REPRESENTATIONS
DOI:
https://doi.org/10.24867/20BE09KrickovicKeywords:
news recommendation, machine learning, deep learningAbstract
With the emergence of internet news portals, especially ones that publish their articles and aggregate articles from other sources, news recommendation systems have become a growing part of the industry. On the other hand, social media websites like Twitter can also benefit from sound textual recommendation systems, as the quality of users' interaction directly depends on the content they serve. This paper aims to introduce an implementation of a news recommendation model that differentiates between users' short- and long-term interests and, with them in mind, generates recommendations for the users. The model we will describe has achieved 64.2 AUC, 29,43 mean MRR, 38.78 NDCG@5, and 32.37 NDCG@10.
References
[1] Microsoft news https://news.microsoft.com/ [datum pristupa 26.06.2022.]
[2] Medium https://www.medium.com [datum pristupa 26.06.2022.]
[3] Važnost sistema za preporuku https://medium.com/@Commons/the-importance-of-recommender-systems-36f86f92181 [datum pristupa 26.06.2022.]
[4] Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, and Ming Zhou. 2020. MIND: A Large-scale Dataset for News Recommendation . In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 3597–3606, Online. Association for Computational Linguistics.
[5] Wang, Hongwei & Zhang, Fuzheng & Xie, Xing & Guo, Minyi. (2018). DKN: Deep Knowledge-Aware Network for News Recommendation. WWW '18: Proceedings of the 2018 World Wide Web Conference. 1835-1844. 10.1145/3178876.3186175.
[6] Wu, Chuhan & Wu, Fangzhao & An, Mingxiao & Huang, Jianqiang & Huang, Yongfeng & Xie, Xing. (2019). NPA: Neural News Recommendation with Personalized Attention.
[7] Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, and Xing Xie. 2019. Neural news recommendation with long-and short-term user representations. In ACL, pages 336–345.
[8] Recommenders zvanična dokumentacija https://readthedocs.org/projects/microsoft-recommenders/ [datum pristupa: 16.7.2022.]
[9] Objašnjenje AUC metrike https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc [datum pristupa 16.7.2022/]
[2] Medium https://www.medium.com [datum pristupa 26.06.2022.]
[3] Važnost sistema za preporuku https://medium.com/@Commons/the-importance-of-recommender-systems-36f86f92181 [datum pristupa 26.06.2022.]
[4] Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, and Ming Zhou. 2020. MIND: A Large-scale Dataset for News Recommendation . In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 3597–3606, Online. Association for Computational Linguistics.
[5] Wang, Hongwei & Zhang, Fuzheng & Xie, Xing & Guo, Minyi. (2018). DKN: Deep Knowledge-Aware Network for News Recommendation. WWW '18: Proceedings of the 2018 World Wide Web Conference. 1835-1844. 10.1145/3178876.3186175.
[6] Wu, Chuhan & Wu, Fangzhao & An, Mingxiao & Huang, Jianqiang & Huang, Yongfeng & Xie, Xing. (2019). NPA: Neural News Recommendation with Personalized Attention.
[7] Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, and Xing Xie. 2019. Neural news recommendation with long-and short-term user representations. In ACL, pages 336–345.
[8] Recommenders zvanična dokumentacija https://readthedocs.org/projects/microsoft-recommenders/ [datum pristupa: 16.7.2022.]
[9] Objašnjenje AUC metrike https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc [datum pristupa 16.7.2022/]
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Published
2022-11-05
Issue
Section
Electrotechnical and Computer Engineering
