Multi-interest semantic changes over time in short-text microblogs-Reference-Cited by-同舟云学术

Multi-interest semantic changes over time in short-text microblogs

Published:2021-09 Issue: Volume:228 Page:107249
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wandabwa Herman M.^ORCID,Naeem M. Asif^ORCID,Mirza Farhaan,Pears Russel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference61 articles.

1. H. Wandabwa, M.A. Naeem, F. Mirza, R. Pears, Follow-back recommendations for sports bettors: A Twitter-based approach, in: Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020, pp. 2569–2578.

2. Multi-interest user profiling in short text microblogs;Wandabwa,2020

3. Homophily, group size, and the diffusion of political information in social networks: Evidence from Twitter;Halberstam;J. Publ. Econom.,2016

4. Maximum likelihood from incomplete data via the EM algorithm;Dempster;J. R. Stat. Soc. Ser. B Stat. Methodol.,1977

5. Dynamic user modeling in social media systems;Yin;ACM Trans. Inform. Syst. (TOIS),2015

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