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2nd workshop on recommender systems and the social web

Authors:

Werner Geyer,

Jill Freyne,

Bamshad Mobasher,

Sarabjot Singha Anand,

Casey DuganAuthors Info & Claims

RecSys '10: Proceedings of the fourth ACM conference on Recommender systems

Pages 379 - 380

https://doi.org/10.1145/1864708.1864798

Published: 26 September 2010 Publication History

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Abstract

The exponential growth of the Social Web both poses challenges, and presents opportunities for Recommender System research. The Social Web has turned information consumers into active contributors who generate large volumes of rapidly changing online data. Recommender Systems strive to identify relevant content for users at the right time and in the right context but achieving this goal has become more difficult, in part due to the volume and nature of information contributed through the Social Web.

The emergence of the Social Web marked a change in Web users' attitude to online privacy and sharing. Social media systems encourage users to implicitly and explicitly provide large volumes of information which previously they would have been reluctant to share. This information includes personal details such as location, age, and interests, friendship networks, bookmarks and tags, opinion and preferences which can be captured explicitly or more often by monitoring user interaction with the systems (e.g. commenting, friending, rating,tagging etc).

These new sources of knowledge can be leveraged by Recommender Systems to improve existing techniques and develop new strategies which focus on social recommendation. In turn recommender technologies can play a huge part in fuelling the success of the Social Web phenomenon by reducing the information overload problem facing social media users.

The goal of this one day workshop was to bring together researchers and practitioners to explore, discuss, and understand challenges and new opportunities for Recommender Systems and the Social Web. The workshop consisted both of technical sessions, in which selected participants presented their results or ongoing research, as well as informal breakout sessions on more focused topics.

Papers discussing various aspects of recommender system in the Social Web were submitted and selected for presentation and discussion in the workshop in a formal reviewing process. The topics of the submitted papers included, among others, the following main areas:

Case studies and novel fielded social recommender applications

Economy of community-based systems: Using recommenders to encourage users to contribute and sustain participation

Social network and folksonomy development: Recommending friends, tags, bookmarks, blogs, music, communities etc.

Recommender system mash-ups, Web 2.0 user interfaces, rich media recommender systems

Recommender applications involving users and groups directly in the recommendation process

Exploiting folksonomies, social network information, interaction user context and communities or groups for recommendations

Trust and reputation aware social recommendations

Semantic Web recommender systems, use of ontologies and microformats

Empirical evaluation of social recommender techniques, success and failure measures

Social recommender systems in the enterprise

The list of short papers, the workshop schedule and downloadable versions of the papers can be found at the workshop's homepage at: http://www.dcs.warwick.ac.uk/~ssanand/RSWEb.htm and are also published at: http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/

Cited By

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Dhelim SAung NBouras MNing HCambria E(2021)A survey on personality-aware recommendation systemsArtificial Intelligence Review10.1007/s10462-021-10063-755:3(2409-2454)Online publication date: 19-Sep-2021
https://doi.org/10.1007/s10462-021-10063-7
Kelbert FShirazi FSimo HWüchner TBuchmann JPretschner AWaidner M(2012)State of Online Privacy: A Technical PerspectiveInternet Privacy10.1007/978-3-642-31943-3_4(189-279)Online publication date: 2012
https://doi.org/10.1007/978-3-642-31943-3_4
Cantador ICastells PPazos Arias JFernández Vilas ADíaz Redondo R(2012)Group Recommender Systems: New Perspectives in the Social WebRecommender Systems for the Social Web10.1007/978-3-642-25694-3_7(139-157)Online publication date: 21-Jan-2012
https://doi.org/10.1007/978-3-642-25694-3_7

Index Terms

2nd workshop on recommender systems and the social web
1. Applied computing
  1. Operations research
    1. Decision analysis
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction
  2. Information systems applications
    1. Decision support systems

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Information & Contributors

Information

Published In

RecSys '10: Proceedings of the fourth ACM conference on Recommender systems

September 2010

402 pages

ISBN:9781605589060

DOI:10.1145/1864708

General Chairs:
Xavier Amatriain
Telefonica Research, Spain
,
Marc Torrens
Strands, Spain
,
Program Chairs:
Paul Resnick
University of Michigan, USA
,
Markus Zanker
Alpen-Adria-Universität Klagenfurt, Austria

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

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RecSys '10

Sponsor:

SIGCHI

RecSys '10: Fourth ACM Conference on Recommender Systems

September 26 - 30, 2010

Barcelona, Spain

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

View all

Dhelim SAung NBouras MNing HCambria E(2021)A survey on personality-aware recommendation systemsArtificial Intelligence Review10.1007/s10462-021-10063-755:3(2409-2454)Online publication date: 19-Sep-2021
https://doi.org/10.1007/s10462-021-10063-7
Kelbert FShirazi FSimo HWüchner TBuchmann JPretschner AWaidner M(2012)State of Online Privacy: A Technical PerspectiveInternet Privacy10.1007/978-3-642-31943-3_4(189-279)Online publication date: 2012
https://doi.org/10.1007/978-3-642-31943-3_4
Cantador ICastells PPazos Arias JFernández Vilas ADíaz Redondo R(2012)Group Recommender Systems: New Perspectives in the Social WebRecommender Systems for the Social Web10.1007/978-3-642-25694-3_7(139-157)Online publication date: 21-Jan-2012
https://doi.org/10.1007/978-3-642-25694-3_7

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3rd workshop on recommender systems and the social web

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