Social search and discovery using a unified approach

Einat Amitay, David Carmel, Nadav Harel, Shila Ofek-Koifman, Aya Soffer, Sivan Yogev, Nadav Golbandi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

49 Scopus citations


This research explores new ways to augment the search and discovery of relations between Web 2.0 entities using multiple types and sources of social information. Our goal is to allow the search for all object types such as documents, persons and tags, while retrieving related objects of all types. We implemented a social-search engine using a unified approach, where the search space is expanded to represent heterogeneous information objects that are interrelated by several relation types. Our solution is based on multifaceted search, which provides an efficient update mechanism for relations between objects, as well as efficient search over the heterogeneous data. We describe a social search engine positioned within a large enterprise, applied over social data gathered from several Web 2.0 applications. We conducted a large user study with over 600 people to evaluate the contribution of social data for search. Our results demonstrate the high precision of social search results and confirm the strong relationship of users and tags to the topics retrieved.

Original languageEnglish
Title of host publicationProceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09
Number of pages10
StatePublished - 27 Nov 2009
Externally publishedYes
Event20th ACM Conference on Hypertext and Hypermedia, HT'09 - Torino, Italy
Duration: 29 Jun 20091 Jul 2009

Publication series

NameProceedings of the 20th ACM Conference on Hypertext and Hypermedia, HT'09


Conference20th ACM Conference on Hypertext and Hypermedia, HT'09


  • Enterprise search
  • Multifaceted search
  • Social search

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Software


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