A new perspective on collection selection

Authors:
Helen Dodd;George Buchanan;Matt Jones
Affiliations:
Department of Computer Science, Swansea University, United Kingdom;Centre for HCI Design, City University, London, United Kingdom;Department of Computer Science, Swansea University, United Kingdom
Venue:
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Year:
2010

Citing 7
Cited 0

The effectiveness of GIOSS for the text database discovery problem

SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Searching distributed collections with inference networks

SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Building efficient and effective metasearch engines

ACM Computing Surveys (CSUR)
Metrics for evaluating database selection techniques

World Wide Web
Server Ranking for Distributed Text Retrieval Systems on the Internet

Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
Comparing the performance of collection selection algorithms

ACM Transactions on Information Systems (TOIS)
Query performance prediction

Information Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Collection selection is traditionally a sub-problem of metasearch, and identifies collections most likely to contain relevant documents. However, we propose to treat collection selection as an independent search task with the goal of identifying collections that are relevant as a whole; so the user may return to them to serve future (related) information needs. Using a new methodology and framework we evaluate the suitability of existing collection selection algorithms for this search task, compared with a new algorithm designed specifically for the task.