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Social collaborative retrieval

Authors:

Alfred HeroAuthors Info & Claims

WSDM '14: Proceedings of the 7th ACM international conference on Web search and data mining

Pages 293 - 302

https://doi.org/10.1145/2556195.2556255

Published: 24 February 2014 Publication History

Abstract

Socially-based recommendation systems have recently attracted significant interest, and a number of studies have shown that social information can dramatically improve a system's predictions of user interests. Meanwhile, there are now many potential applications that involve aspects of both recommendation and information retrieval, and the task of collaborative retrieval---a combination of these two traditional problems---has recently been introduced. Successful collaborative retrieval requires overcoming severe data sparsity, making additional sources of information, such as social graphs, particularly valuable. In this paper we propose a new model for collaborative retrieval, and show that our algorithm outperforms current state-of-the-art approaches by incorporating information from social networks. We also provide empirical analyses of the ways in which cultural interests propagate along a social graph using a real-world music dataset.

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Cited By

Yu LPei SZhu FLi LZhou JZhang CZhang XAl Hasan MXiong L(2022)A Biased Sampling Method for Imbalanced Personalized RankingProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557218(2393-2402)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3511808.3557218
Wu SLiu QWang LTan TWu SLiu QWang LTan T(2018)Context-Aware Collaborative PredictionContext-Aware Collaborative Prediction10.1007/978-981-10-5373-3_2(7-17)Online publication date: 11-Mar-2018
https://doi.org/10.1007/978-981-10-5373-3_2
Ranganath SWang SHu XTang JLiu H(2017)Facilitating Time Critical Information Seeking in Social MediaIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2017.270137529:10(2197-2209)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1109/TKDE.2017.2701375
Show More Cited By

Index Terms

Social collaborative retrieval
1. Information systems
  1. Information retrieval

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Published In

cover image ACM Conferences

WSDM '14: Proceedings of the 7th ACM international conference on Web search and data mining

February 2014

712 pages

ISBN:9781450323512

DOI:10.1145/2556195

General Chairs:
Ben Carterette
University of Delaware, USA
,
Fernando Diaz
Microsoft Research, USA
,
Program Chairs:
Carlos Castillo
Qatar Computing Research Institute, Qatar
,
Donald Metzler
Google, USA

Copyright © 2014 ACM.

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 the author(s) 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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Publication History

Published: 24 February 2014

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WSDM 2014

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WSDM 2014: Seventh ACM International Conference on Web Search and Data Mining

February 24 - 28, 2014

New York, New York, USA

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WSDM '14 Paper Acceptance Rate 64 of 355 submissions, 18%;

Overall Acceptance Rate 498 of 2,863 submissions, 17%

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Cited By

Yu LPei SZhu FLi LZhou JZhang CZhang XAl Hasan MXiong L(2022)A Biased Sampling Method for Imbalanced Personalized RankingProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557218(2393-2402)Online publication date: 17-Oct-2022
https://dl.acm.org/doi/10.1145/3511808.3557218
Wu SLiu QWang LTan TWu SLiu QWang LTan T(2018)Context-Aware Collaborative PredictionContext-Aware Collaborative Prediction10.1007/978-981-10-5373-3_2(7-17)Online publication date: 11-Mar-2018
https://doi.org/10.1007/978-981-10-5373-3_2
Ranganath SWang SHu XTang JLiu H(2017)Facilitating Time Critical Information Seeking in Social MediaIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2017.270137529:10(2197-2209)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1109/TKDE.2017.2701375
Zhang WWang JBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest RecommendationProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806564(1221-1230)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806564
Liu QWu SWang LBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)Collaborative Prediction for Multi-entity Interaction With Hierarchical RepresentationProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806530(613-622)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806530
Yin QWu SWang L(2015)Learning to Hash for Recommendation with Tensor DataWeb Technologies and Applications10.1007/978-3-319-25255-1_24(292-303)Online publication date: 13-Nov-2015
https://doi.org/10.1007/978-3-319-25255-1_24

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