Authors:
George Papadakis
;
Claudia Niederée
and
Wolfgang Nejdl
Affiliation:
L3S Research Center, Leibniz Universität Hannover, Germany
Keyword(s):
Information Valuation, Time-Decay Model, Information Resources Ranking, Social Applications.
Related
Ontology
Subjects/Areas/Topics:
Internet Technology
;
Searching and Browsing
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
;
XML and Data Management
Abstract:
Social applications are prone to information explosion, due to the proliferation of user generated content. Locating and retrieving information in their context poses, therefore, a great challenge. Classical information retrieval methods are, however, inadequate in this environment, and users inevitably drown in an information flood. In this paper, we present a novel method that facilitates user’s information quests by identifying and improving the accessibility of the most important resources. This is achieved through an information valuation method, that estimates how likely it is for each information item to be accessed in the near future. The experiments verify that our method performs significantly better than others typically used in social applications, while being more versatile, too.