Collaborative information seeking and retrieval

Abstract Information retrieval (IR) tools are engaged to find information in electronic form, in databases, digital libraries, and networks. However, the advent of the web technology has boosted the amount of information available to us way beyond our cognitive capacity. The importance of good IR tools has thus increased and the tools have become natural focal points for organisational information seeking. This situation offers a possibility to exploit the collaborative efforts of the individual users. However, is the opportunity utilised?

The motivation behind personal information agents resides in the enormous amount of information available on the Web, which has created a pressing need for effective personalized techniques. In order to assists Web search these agents rely on user profiles modeling information preferences, interests and habits that help to contextualize user queries. In communities of people with similar interests, collaboration among agents fosters knowledge sharing and, consequently, potentially improves the results of individual agents by taking advantage of the knowledge acquired by other agents. In this paper we propose an agent-based recommender system for supporting collaborative Web search in groups of users with partial similarity of interests. Empirical evaluation shown that the interaction among personal agents increases the performance of the overall recommender system, demonstrating the potential of the approach for reducing the burden of finding information on the Web.

Computer, 2000

Computer, 2000

Book Review: Bates, Marcia J. Volume I Information and the information professions. xx, 372 pp. ISBN 978-0-9817584-1-1. Volume II Information searching theory and practice. xx, 392 pp. ISBN 978-0-9817584-2-8. Volume III Information users and information system design. xx, 384 pp. ISBN 978-0-9817584-3-5 Each volume $18.00 Table of contents and abstracts of many papers available at https://pages.gseis.ucla.edu/faculty/bates/batesabstracts.html Through her highly cited papers and her editorship of the Encyclopedia of Information Science, Marcia Bates has had a significant influence on the field, especially its foundations and integration. So it is good to have her most important papers available in meaningful groups showing the development of ideas that are still important today.

2010

Abstract Collaborative information retrieval (CIR) encompasses the many varied social approaches to information seeking. Although some information retrieval systems have given an impression of individual access to resources, there is a growing realization that much information work is fundamentally collaborative in nature. We highlight key points in the recent history of CIR, particularly the difference between explicit and implicit collaboration.

2007

Research on information behaviour and information seeking has traditionally focused on the human as an individual as an information seeker and user of information. In this demonstration paper we present the Daffodil system as collaborative tool to reflect the social aspect on collaborative information retrieval.

Handbook of Granular Computing

The Student Research (SRC) Program is sponsored by Microsoft Research For the past twenty-nine years the ACM Symposium on Applied Computing (SAC) has been a primary and international forum for applied computer scientists, computer engineers and application developers to gather, interact and present their work. The ACM Special Interest Group on Applied Computing (SIGAPP) is the sole sponsor of SAC. The conference proceedings are published by ACM and are also available online through ACM's Digital Library.