Time-aware topic recommendation based on micro-blogs

Huizhi Liang; Yue Xu; Dian Tjondronegoro; Peter Christen

doi:10.1145/2396761.2398492

Time-aware topic recommendation based on micro-blogs

Huizhi Liang^*, Yue Xu, Dian Tjondronegoro, Peter Christen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

43 Citations (Scopus)

Abstract

Topic recommendation can help users deal with the information overload issue in micro-blogging communities. This paper proposes to use the implicit information network formed by the multiple relationships among users, topics and micro-blogs, and the temporal information of micro-blogs to find semantically and temporally relevant topics of each topic, and to profile users' time-drifting topic interests. The Content based, Nearest Neighborhood based and Matrix Factorization models are used to make personalized recommendations. The effectiveness of the proposed approaches is demonstrated in the experiments conducted on a real world dataset that collected from Twitter.com.

Original language	English
Title of host publication	CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management
Pages	1657-1661
Number of pages	5
DOIs	https://doi.org/10.1145/2396761.2398492
Publication status	Published - 2012
Event	21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States Duration: 29 Oct 2012 → 2 Nov 2012

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	21st ACM International Conference on Information and Knowledge Management, CIKM 2012
Country/Territory	United States
City	Maui, HI
Period	29/10/12 → 2/11/12

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10.1145/2396761.2398492

Cite this

@inproceedings{909cf2532704429c88906cc2a6d9a5e7,

title = "Time-aware topic recommendation based on micro-blogs",

abstract = "Topic recommendation can help users deal with the information overload issue in micro-blogging communities. This paper proposes to use the implicit information network formed by the multiple relationships among users, topics and micro-blogs, and the temporal information of micro-blogs to find semantically and temporally relevant topics of each topic, and to profile users' time-drifting topic interests. The Content based, Nearest Neighborhood based and Matrix Factorization models are used to make personalized recommendations. The effectiveness of the proposed approaches is demonstrated in the experiments conducted on a real world dataset that collected from Twitter.com.",

keywords = "collaborative filtering, micro-blogs, personalization, temporal dynamics, topic recommendation, web 2.0",

author = "Huizhi Liang and Yue Xu and Dian Tjondronegoro and Peter Christen",

year = "2012",

doi = "10.1145/2396761.2398492",

language = "English",

isbn = "9781450311564",

series = "ACM International Conference Proceeding Series",

pages = "1657--1661",

booktitle = "CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management",

note = "21st ACM International Conference on Information and Knowledge Management, CIKM 2012 ; Conference date: 29-10-2012 Through 02-11-2012",

}

Liang, H, Xu, Y, Tjondronegoro, D & Christen, P 2012, Time-aware topic recommendation based on micro-blogs. in CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. ACM International Conference Proceeding Series, pp. 1657-1661, 21st ACM International Conference on Information and Knowledge Management, CIKM 2012, Maui, HI, United States, 29/10/12. https://doi.org/10.1145/2396761.2398492

Time-aware topic recommendation based on micro-blogs. / Liang, Huizhi; Xu, Yue; Tjondronegoro, Dian et al.
CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management. 2012. p. 1657-1661 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Time-aware topic recommendation based on micro-blogs

AU - Liang, Huizhi

AU - Xu, Yue

AU - Tjondronegoro, Dian

AU - Christen, Peter

PY - 2012

Y1 - 2012

N2 - Topic recommendation can help users deal with the information overload issue in micro-blogging communities. This paper proposes to use the implicit information network formed by the multiple relationships among users, topics and micro-blogs, and the temporal information of micro-blogs to find semantically and temporally relevant topics of each topic, and to profile users' time-drifting topic interests. The Content based, Nearest Neighborhood based and Matrix Factorization models are used to make personalized recommendations. The effectiveness of the proposed approaches is demonstrated in the experiments conducted on a real world dataset that collected from Twitter.com.

AB - Topic recommendation can help users deal with the information overload issue in micro-blogging communities. This paper proposes to use the implicit information network formed by the multiple relationships among users, topics and micro-blogs, and the temporal information of micro-blogs to find semantically and temporally relevant topics of each topic, and to profile users' time-drifting topic interests. The Content based, Nearest Neighborhood based and Matrix Factorization models are used to make personalized recommendations. The effectiveness of the proposed approaches is demonstrated in the experiments conducted on a real world dataset that collected from Twitter.com.

KW - collaborative filtering

KW - micro-blogs

KW - personalization

KW - temporal dynamics

KW - topic recommendation

KW - web 2.0

UR - http://www.scopus.com/inward/record.url?scp=84871092016&partnerID=8YFLogxK

U2 - 10.1145/2396761.2398492

DO - 10.1145/2396761.2398492

M3 - Conference contribution

SN - 9781450311564

T3 - ACM International Conference Proceeding Series

SP - 1657

EP - 1661

BT - CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management

T2 - 21st ACM International Conference on Information and Knowledge Management, CIKM 2012

Y2 - 29 October 2012 through 2 November 2012

ER -

Time-aware topic recommendation based on micro-blogs

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