SISTEM ZA PREPORUKU VESTI UPOTREBOM PERSONALIZOVANIH KRATKOTRAJNIH REPREZENTACIJA
Ključne reči:
preporuka vesti, mašinsko učenje, duboko učenje
Apstrakt
Pojavom internet portala koji ne prikazuju samo svoje autorske članke, nego agregiraju članke sa više izvora, sistemi za preporuku vesti su postali neophodni, kako bi korisnici došli do sadržaja koji ih zanima. Takođe, ovakvi sistemi se mogu primeniti i na drugim platformama poput Twitter-a, gde preporuka tekstualnog sadržaja direktno dovodi do kvalitetnijeg korišćenja platforme. U ovom radu će biti opisan sistem za preporuku tekstualnog sadržaja, a prvenstveno vesti, koji ume da razlikuje korisnikove kratkotrajne i dugotrajne sklonosti, pa na osnovu istorijata pregleda članaka generiše preporuke. Rezultati ovog modela nad MIND-demo skupom podataka su 64.2 AUC, 29,43 mean MRR, 38.78 NDCG@5 i 32.37 NDCG@10.
Reference
[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/]
Objavljeno
2022-11-05
Sekcija
Elektrotehničko i računarsko inženjerstvo
