TermCloud for Enhancing Web Search

Authors:
Takehiro Yamamoto;Satoshi Nakamura;Katsumi Tanaka
Affiliations:
Department of Social Informatics, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo, Kyoto, Japan 606-8501;Department of Social Informatics, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo, Kyoto, Japan 606-8501;Department of Social Informatics, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo, Kyoto, Japan 606-8501
Venue:
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
Year:
2009

Citing 5
Cited 1

Introduction

Communications of the ACM - Supporting exploratory search
Getting our head in the clouds: toward evaluation studies of tagclouds

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An assessment of tag presentation techniques

Proceedings of the 16th international conference on World Wide Web
Trustworthiness analysis of web search results

ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Rerank-by-example: efficient browsing of web search results

DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications

Designing mobile search interface with query term extraction

KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

We previously proposed a reranking system for Web searches based on user interaction. The system encouraged users to interact with terms in search results or with frequent terms displayed in the tagcloud visualization style. Over 20,000 interaction logs of users were analyzed, and the results showed that more than 70% of users had interacted with the terms in the tagcloud area. Therefore, this visualization style is thought to have great potential in supporting users in their Web searches. This visualization style is referred to as TermCloud in this paper. We describe how TermCloud can increase the effectiveness of users' Web searches, and we propose a technique to generate a more useful TermCloud than the frequency-based TermCloud. Then, we show the usefulness of our method based on the experimental test.