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  Social Wisdom for Search and Recommendation

Schenkel, R., Crecelius, T., Kacimi El Hassani, M., Neumann, T., Parreira, J. X., Spaniol, M., et al. (2008). Social Wisdom for Search and Recommendation. Bulletin of the Technical Committee of Data Engineering, 31(2), 40-49. Retrieved from http://sites.computer.org/debull/A08June/schenkel.pdf.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-1D00-5 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0015-7E50-D
Genre: Journal Article

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 Creators:
Schenkel, Ralf1, Author              
Crecelius, Tom1, 2, Author              
Kacimi El Hassani, Mouna1, Author              
Neumann, Thomas1, Author              
Parreira, Josiane Xavier1, Author              
Spaniol, Marc1, Author              
Weikum, Gerhard1, Author              
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              

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 Abstract: Social-tagging communities offer great potential for smart recommendation and “socially enhanced” search result ranking. Beyond traditional forms of collaborative recommendation that are based on the item-user matrix of the entire community, a specific opportunity of social communities is to reflect the different degrees of friendships and mutual trust, in addition to the behavioral similarities among users. This paper presents a framework for harnessing such social relations for search and recommendation. The framework is implemented in the SENSE prototype system, and its usefulness is demonstrated in experiments with an excerpt of the librarything community data.

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Language(s): eng - English
 Dates: 2009-03-312008
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 428280
URI: http://sites.computer.org/debull/A08June/schenkel.pdf
Other: Local-ID: C125756E0038A185-29B1BEC5CDF9E8E6C125746A00350DE3-SchenkelCKNPSW08
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Title: Bulletin of the Technical Committee of Data Engineering
Source Genre: Journal
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Pages: - Volume / Issue: 31 (2) Sequence Number: - Start / End Page: 40 - 49 Identifier: -