Twitterにおける興味の意外性と有用性を考慮したセレンディピティなユーザの推薦-Reference-Cited by-同舟云学术

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Twitterにおける興味の意外性と有用性を考慮したセレンディピティなユーザの推薦

Published:2023-09-30 Issue:3 Volume:33 Page:267-288
ISSN:0917-1436
Container-title:Joho Chishiki Gakkaishi
language:en
Short-container-title:Journal of Japan Society of Information and Knowledge

Author:

XU Zhelin¹,ZHOU Juan²,TAKADA Hideyuki³,MATSUMURA Atsushi⁴,SATOH Tetsuji⁴

Affiliation:

1. Doctoral Program in Informatics, University of Tsukuba

2. School of Environment and Society, Tokyo Institute of Technology

3. College of Information Science and Engineering, Ritsumeikan University

4. Faculty of Library, Information and Media Science, University of Tsukuba

Publisher

Japan Society of Information and Knowledge

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jsik/33/3/33_2023_027/_pdf

Reference37 articles.

1. [1] NUMBER OF TWITTER USERS BY COUNTRY, https://www.oberlo.com/statistics/number-of-twitter-users-by-country.

2. [2] Xu, K., Zheng, X., Cai, Y., Min, H., Gao, Z., Zhu, B., Xie, H., and Wong, T.-L.: “Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks”, Knowledge Based Systems, Vol.140, pp.120–133, 2018, https://doi.org/10.1016/j.knosys.2017.10.031.

3. [3] AlMahmoud, H. and AlKhalifa, S.: “TSim: a system for discovering similar users on Twitter”, Journal of Big Data, Vol.5, No.1, pp.1–20, 2018, https://doi.org/10.1186/s40537-018-0147-2.

4. [4] Kaminskas, Marius, and Derek Bridge.: “Diversity, serendipity, novelty, and coverage: a survey and empirical analysis of beyond accuracy objectives in recommender systems”, ACM Transactions on Interactive Intelligent Systems, Vol.7, No.1, pp.1–42, 2016, https://doi.org/10.1145/2926720.

5. [5] Silva, A. M., Silva Costa, da F. H., Diaz, A. K. R., and Peres, S. M.: “Exploring Coclustering for Serendipity Improvement in Content-Based Recommendation”, in International Conference on Intelligent Data Engineering and Automated Learning, Madrid, November 2018, Lecture Notes in Computer Science, vol 11314. Springer, Cham, pp.317–327, https://doi.org/10.1007/978-3-030-03493-1_34.

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