Report on the SIGIR 2015 Workshop on Social Personalization and Search
Abstract
The use of contexts --side information associated to information tasks-- has been one of the most important dimensions for the improvement of Information Retrieval tasks, helping to clarify the information needs of the users which usually start from a few keywords in a text box. Particularly, the social context has been leveraged in search and personalization since the inception of the Social Web, but even today we find new scenarios of information filtering, search, recommendation and personalization where the use of social signals can produce a steep improvement. In addition, the action of searching has become a social process on the Web, making traditional assumptions of relevance obsolete and requiring new paradigms for matching the most useful resources that solve information needs. This escenario has motivated us for organizing the Social Personalization and Search (SPS) workshop, a forum aimed at sharing and discussing research that leverage social data for improving classic personalization models for information access and to revisiting search from individual phenomena to a collaborative process.
References
[1]
Baeza-Yates, R. Wisdom of crowds or wisdom of a few? In Proceedings of the International Workshop on Social Personalization & Search, co-located at SIGIR 2015, C. Trattner, D. Parra, P. Brusilovsky, and L. B. Marinho, Eds., CEUR Workshop Proceedings, CEUR-WS.org, p. 1.
[2]
Bennett, P. Search from personal to social context: Progress and challenges. In Proceedings of the International Workshop on Social Personalization & Search, co-located at SIGIR 2015, C. Trattner, D. Parra, P. Brusilovsky, and L. B. Marinho, Eds., CEUR Workshop Proceedings, CEUR-WS.org, p. 2.
[3]
Bennett, P., and Kiciman, E. Persona-ization: Searching on behalf of others. In Proceedings of the International Workshop on Social Personalization & Search, co-located at SIGIR 2015, C. Trattner, D. Parra, P. Brusilovsky, and L. B. Marinho, Eds., CEUR Workshop Proceedings, CEUR-WS.org, pp. 26--32.
[4]
Graells-Garrido, E., Lalmas, M., and Baeza-Yates, R. Finding intermediary topics between people of opposing views: A case study. In Proceedings of the InternaWorkshop on Social Personalization & Search, co-located at SIGIR 2015, C. Trattner, D. Parra, P. Brusilovsky, and L. B. Marinho, Eds., CEURWorkshop Proceedings, CEURWS. org, pp. 10--16.
[5]
Gurini, D. F., Gasparetti, F., Micarelli, A., and Sansonetti, G. Analysis of sentiment communities in online networks. In Proceedings of the International Workshop on Social Personalization & Search, co-located at SIGIR 2015, C. Trattner, D. Parra, P. Brusilovsky, and L. B. Marinho, Eds., CEUR Workshop Proceedings, CEUR-WS.org, pp. 17--20.
[6]
Herrera, J. M., Parra, D., and Poblete, B. Retrieving relevant conversations for q&a on twitter. In Proceedings of the International Workshop on Social Personalization & Search, co-located at SIGIR 2015, C. Trattner, D. Parra, P. Brusilovsky, and L. B. Marinho, Eds., CEUR Workshop Proceedings, CEUR-WS.org, pp. 21--25.
[7]
Pariser, E. The filter bubble: What the Internet is hiding from you. Penguin UK, 2011.
[8]
Samar, T., Bellogn, A., and de Vries, A. Improving contextual suggestions using open web domain knowledge. In Proceedings of the International Workshop on Social Personalization & Search, co-located at SIGIR 2015, C. Trattner, D. Parra, P. Brusilovsky, and L. B. Marinho, Eds., CEUR Workshop Proceedings, CEUR-WS.org, pp. 3--9.
- Report on the SIGIR 2015 Workshop on Social Personalization and Search
Recommendations
Modelling Time-aware Search Tasks for Search Personalisation
WWW '15 Companion: Proceedings of the 24th International Conference on World Wide WebRecent research has shown that mining and modelling search tasks helps improve the performance of search personalisation. Some approaches have been proposed to model a search task using topics discussed in relevant documents, where the topics are ...
Personalized ontology for web search personalization
COMPUTE '08: Proceedings of the 1st Bangalore Annual Compute ConferenceThe highest problem faced by the users of web search today is the quality and the amount of the results they get back. The results often frustrate and consume precious time of the users. Most of the existing search engines perform searches that are ...
Context-aware search personalization with concept preference
CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge managementAs the size of the web is growing rapidly, a well-recognized challenge for developing web search engines is to optimize the search result towards each user's preference. In this paper, we propose and develop a new personalization framework that captures ...
Comments
Information & Contributors
Information
Published In
December 2015
141 pages
Copyright © 2016 Authors.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 29 January 2016
Published in SIGIR Volume 49, Issue 2
Check for updates
Qualifiers
- Column
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 101Total Downloads
- Downloads (Last 12 months)10
- Downloads (Last 6 weeks)0
Reflects downloads up to 28 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in