poster

Computing and applying topic-level user interactions in microblog recommendation

Authors:

Xiao Lu,

Peng Li,

Hongyuan Ma,

Shuxin Wang,

Anying Xu,

Bin WangAuthors Info & Claims

SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

Pages 843 - 846

https://doi.org/10.1145/2600428.2609455

Published: 03 July 2014 Publication History

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Abstract

With the development of microblog services, tens of thousands of messages are produced every day and recommending useful messages according to users' interest is recognized as an effective way to overcome the information overload problem. Collaborative filtering which rooted from recommender system has been utilized for microblog recommendation, where social relationship information can help improve the recommendation performance. However, most of existing methods only consider the static relationship, i.e. the following relationship, which totally ignores the relationship conveyed by users' repost behaviors. To explore the effects of behavior based relationship on recommendation, we propose an Interaction Based Collaborative Filtering (IBCF) approach. Specifically, we first use topic model to analyze users' interactive behaviors and measure the topic-specific relationship strength, then we incorporate the relationship factor into the matrix factorization framework. Experimental results show that compared to the current popular social recommendation methods, IBCF can achieve better performance on the MAP and NDCG evaluation measures, and have better interpretability for the recommended results.

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Cited By

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Magdy A(2020)MicroblogsSIGSPATIAL Special10.1145/3404820.340482712:1(41-52)Online publication date: 8-Jul-2020
https://dl.acm.org/doi/10.1145/3404820.3404827
Lu LYu JChen YZhu YLi MXu X(2019)I3Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512553:3(1-22)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3351255
Magdy AAbdelhafeez LKang YOng EMokbel M(2019)Microblogs data management: a surveyThe VLDB Journal10.1007/s00778-019-00569-6Online publication date: 18-Sep-2019
https://doi.org/10.1007/s00778-019-00569-6
Show More Cited By

Index Terms

Computing and applying topic-level user interactions in microblog recommendation
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Published In

SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval

July 2014

1330 pages

ISBN:9781450322577

DOI:10.1145/2600428

General Chairs:
Shlomo Geva
Queensland University of Technology
,
Andrew Trotman
University of Dunedin
,
Program Chairs:
Peter Bruza
Queensland University of Technology
,
Charles L.A. Clarke
University of Waterloo
,
Kal Järvelin
University of Tampere

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 July 2014

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SIGIR

SIGIR '14: The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

July 6 - 11, 2014

Queensland, Gold Coast, Australia

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SIGIR '14 Paper Acceptance Rate 82 of 387 submissions, 21%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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Magdy A(2020)MicroblogsSIGSPATIAL Special10.1145/3404820.340482712:1(41-52)Online publication date: 8-Jul-2020
https://dl.acm.org/doi/10.1145/3404820.3404827
Lu LYu JChen YZhu YLi MXu X(2019)I3Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512553:3(1-22)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3351255
Magdy AAbdelhafeez LKang YOng EMokbel M(2019)Microblogs data management: a surveyThe VLDB Journal10.1007/s00778-019-00569-6Online publication date: 18-Sep-2019
https://doi.org/10.1007/s00778-019-00569-6
Ma XLei XZhao GQian X(2018)Rating prediction by exploring user's preference and sentimentMultimedia Tools and Applications10.1007/s11042-017-4550-z77:6(6425-6444)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s11042-017-4550-z
Xu KCai YMin HChen J(2018)Top-N Trustee Recommendation with Binary User Trust FeedbackDatabase Systems for Advanced Applications10.1007/978-3-319-91455-8_23(269-279)Online publication date: 12-May-2018
https://doi.org/10.1007/978-3-319-91455-8_23
Liu LYu SWei XNing Z(2017)An improved Apriori–based algorithm for friends recommendation in microblogInternational Journal of Communication Systems10.1002/dac.345331:2Online publication date: 6-Nov-2017
https://doi.org/10.1002/dac.3453
Younus A(2016)Use of Microblog Behavior Data in a Language Modeling Framework to Enhance Web Search PersonalizationInformation Retrieval Technology10.1007/978-3-319-48051-0_13(171-183)Online publication date: 15-Oct-2016
https://doi.org/10.1007/978-3-319-48051-0_13

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An Indirected Recommendation Model for Chinese Microblog

Recommending Followees Based on Content Weighted User Interest Homophily

User Preference Translation Model for Next Top-k Items Recommendation with Social Relations