The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Social Network Models for Enhancing Reference-Based Search Engine Rankings
|
|
Author(s): Nikolaos Korfiatis (Copenhagen Business School, Denmark), Miguel-Ángel Sicilia (University of Alcala, Spain), Claudia Hess (University of Bamberg, Germany), Klaus Stein (University of Bamberg, Germany)and Christoph Schlieder (University of Bamberg, Germany)
Copyright: 2008
Pages: 25
Source title:
Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively
Source Author(s)/Editor(s): Dion Goh (Nanyang Technological University, Singapore)and Schubert Foo (Nanyang Technological University, Singapore)
DOI: 10.4018/978-1-59904-543-6.ch006
Purchase
|
Abstract
This chapter discusses the integration of information retrieval information from two sources: a social network and a document reference network, for enhancing reference based search engine rankings. In particular, current models of information retrieval are blind to the social context that surrounds information resources thus do not consider the trustworthiness of their authors when they present the query results to the users. Following this point we elaborate on the basic intuitions that highlight the contribution of the social context – as can be mined from social network positions for instance – into the improvement of the rankings provided in reference based search engines. A review on ranking models in web search engine retrieval along with social network metrics of importance such as prestige and centrality is provided as a background. Then a presentation of recent research models that utilize both contexts is provided along with a case study in the internet based encyclopedia Wikipedia based on the social network metrics.
Related Content
|
Nitesh Behare, Rashmi D. Mahajan, Meenakshi Singh, Vishwanathan Iyer, Ushmita Gupta, Pritesh P. Somani.
© 2024.
36 pages.
|
|
Shikha Mittal.
© 2024.
21 pages.
|
|
Albérico Travassos Rosário.
© 2024.
31 pages.
|
|
Carla Sofia Ribeiro Murteira, Ana Cristina Antunes.
© 2024.
23 pages.
|
|
Mario Sierra Martin, Alvaro Díaz Casquero, Marina Sánchez Pérez, Bárbara Rando Rodríguez.
© 2024.
17 pages.
|
|
Poornima Nair, Sunita Kumar.
© 2024.
18 pages.
|
|
Neli Maria Mengalli, Antonio Aparecido Carvalho.
© 2024.
16 pages.
|
|
|