Your Best might not be Good enough: Ranking in Collaborative Social Search Engines

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Prantik Bhattacharyya, Jeff Rowe, Felix Wu, Karen Haigh, Niklas Lavesson, Henric Johnson
Title: Your Best might not be Good enough: Ranking in Collaborative Social Search Engines
Conference name: Seventh International Conference on Collaborative Computing: Networking, Applications and Worksharing
Year: 2011
Publisher: IEEE Press
City: Orlando
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
Authors e-mail:,
Language: English
Abstract: A relevant feature of online social networks like
Facebook is the scope for users to share external information from the web with their friends by sharing an URL. The phenomenon of sharing has bridged the web graph with the social network graph and the shared knowledge in ego networks has become a source for relevant information for an individual user, leading to the emergence of social search as a powerful tool for information retrieval. Consideration of the social context has become an essential factor in the process of ranking results in response to queries in social search engines. In this work, we present InfoSearch, a social search engine built over the Facebook platform, which lets users search for information based on what their friends have shared. We identify and implement three distinct ranking factors based on the number of mutual friends, social group membership, and time stamp of shared documents to rank results for user searches. We perform user studies based on the Facebook feeds of two authors to understand the impact of each ranking factor on the result for two queries.
Subject: Computer Science\Artificial Intelligence
Computer Science\Distributed Computing
Computer Science\General
Keywords: social search, search engine, rank