Using latent semantic analysis to improve access to textual information
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Scatter/gather browsing communicates the topic structure of a very large text collection
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Topic-based browsing within a digital library using keyphrases
Proceedings of the fourth ACM conference on Digital libraries
Bringing order to the Web: automatically categorizing search results
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Optimizing search by showing results in context
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using keyphrases as search result surrogates on small screen devices
Personal and Ubiquitous Computing
Proportional search interface usability measures
Proceedings of the third Nordic conference on Human-computer interaction
Cha-Cha: a system for organizing intranet search results
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Findex: search result categories help users when document ranking fails
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Optimizing the number of search result categories
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Information search and re-access strategies of experienced web users
WWW '05 Proceedings of the 14th international conference on World Wide Web
Controlling the complexity in comparing search user interfaces via user studies
Information Processing and Management: an International Journal
Mobile findex: supporting mobile web search with automatic result categories
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
| Hi-index | 0.00 |
Long result lists from web search engines can be tedious to use. We designed a text categorization algorithm and a filtering user interface to address the problem. The Findex system provides an overview of the results by presenting a list of the most frequent words and phrases as result categories next to the actual results. Selecting a category (word or phrase) filters the result list to show only the results containing it. An experiment with 20 participants was conducted to compare the category design to the de facto standard solution (Google-type ranked list interface). Results show that the users were 25% faster and 21% more accurate with our system. In particular, participants' speed of finding relevant results was 40% higher with the proposed system. Subjective ratings revealed significantly more positive attitudes towards the new system. Results indicate that the proposed design is feasible and beneficial.