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research-article

User comments for news recommendation in forum-based social media

Authors:

Yuanzhu Peter Chen,

Zhangxi LinAuthors Info & Claims

Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal, Volume 180, Issue 24

Pages 4929 - 4939

https://doi.org/10.1016/j.ins.2010.08.044

Published: 01 December 2010 Publication History

Abstract

News recommendation and user interaction are important features in many Web-based news services. The former helps users identify the most relevant news for further information. The latter enables collaborated information sharing among users with their comments following news postings. This research is intended to marry these two features together for an adaptive recommender system that utilizes reader comments to refine the recommendation of news in accordance with the evolving topic. This then turns the traditional "push-data" type of news recommendation to "discussion" moderator that can intelligently assist online forums. In addition, to alleviate the problem of recommending essentially identical articles, the relationship (duplicate, generalization, or specialization) between recommended news articles and the original posting is investigated. Our experiments indicate that our proposed solutions provide an improved news recommendation service in forum-based social media.

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Cited By

Bauer CBagchi CHundogan Ovan Es K(2024)Where Are the Values? A Systematic Literature Review on News Recommender SystemsACM Transactions on Recommender Systems10.1145/36548052:3(1-40)Online publication date: 28-Mar-2024
https://dl.acm.org/doi/10.1145/3654805
Hoque MMahfuz AKindi MHassan N(2024)Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and PerspectivesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642007(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642007
Movafegh ZRezapour A(2024)Improving collaborative recommender system using hybrid clustering and optimized singular value decompositionEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107109126:PDOnline publication date: 27-Feb-2024
https://dl.acm.org/doi/10.1016/j.engappai.2023.107109
Show More Cited By

User comments for news recommendation in forum-based social media
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems

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Information & Contributors

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Published In

cover image Information Sciences: an International Journal

Information Sciences: an International Journal Volume 180, Issue 24

December, 2010

422 pages

ISSN:0020-0255

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Copyright © Elsevier Inc.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 December 2010

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Cited By

Bauer CBagchi CHundogan Ovan Es K(2024)Where Are the Values? A Systematic Literature Review on News Recommender SystemsACM Transactions on Recommender Systems10.1145/36548052:3(1-40)Online publication date: 28-Mar-2024
https://dl.acm.org/doi/10.1145/3654805
Hoque MMahfuz AKindi MHassan N(2024)Towards Designing a Question-Answering Chatbot for Online News: Understanding Questions and PerspectivesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642007(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642007
Movafegh ZRezapour A(2024)Improving collaborative recommender system using hybrid clustering and optimized singular value decompositionEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107109126:PDOnline publication date: 27-Feb-2024
https://dl.acm.org/doi/10.1016/j.engappai.2023.107109
Ros KJin MLevine JZhai CYoshioka MKiseleva JAliannejadi M(2023)Retrieving Webpages Using Online DiscussionsProceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3578337.3605139(159-168)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.1145/3578337.3605139
Wu CWu FHuang YXie X(2023)Personalized News Recommendation: Methods and ChallengesACM Transactions on Information Systems10.1145/353025741:1(1-50)Online publication date: 10-Jan-2023
https://dl.acm.org/doi/10.1145/3530257
Phuong TLinh LBach N(2022)Identifying intentions in forum posts with cross-domain dataJournal of Heuristics10.1007/s10732-019-09410-328:2(171-192)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s10732-019-09410-3
Alshehri JStanojevic MKhan PRapp BDragut EObradovic Z(2022)MultiLayerET: A Unified Representation of Entities and Topics Using Multilayer GraphsMachine Learning and Knowledge Discovery in Databases10.1007/978-3-031-26390-3_39(671-687)Online publication date: 19-Sep-2022
https://dl.acm.org/doi/10.1007/978-3-031-26390-3_39
Manaskasemsak BPuttitanun STantisuwankul JRungsawang A(2021)Personalized Thread Recommendation on Thai Internet ForumProceedings of the 2021 5th International Conference on Computer Science and Artificial Intelligence10.1145/3507548.3507589(267-272)Online publication date: 4-Dec-2021
https://dl.acm.org/doi/10.1145/3507548.3507589
Qin ZZhang M(2021)Research on News Recommendation Algorithm Based on User Interest and Timeliness ModelingThe 2nd International Conference on Computing and Data Science10.1145/3448734.3450933(1-6)Online publication date: 28-Jan-2021
https://dl.acm.org/doi/10.1145/3448734.3450933
Ma RQiu XZhang QHu XJiang YHuang X(2021)Co-Attention Memory Network for Multimodal Microblog's Hashtag RecommendationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.293240633:2(388-400)Online publication date: 11-Jan-2021
https://dl.acm.org/doi/10.1109/TKDE.2019.2932406
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