Inferring Web communities from link topology
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Indexing and retrieval of scientific literature
Proceedings of the eighth international conference on Information and knowledge management
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
DEADLINER: building a new niche search engine
Proceedings of the ninth international conference on Information and knowledge management
Why batch and user evaluations do not give the same results
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 11th international conference on World Wide Web
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Learning to Create Customized Authority Lists
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Improving Category Specific Web Search by Learning Query Modifications
SAINT '01 Proceedings of the 2001 Symposium on Applications and the Internet (SAINT 2001)
Subwebs for specialized search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Do clarity scores for queries correlate with user performance?
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
User Modeling and User-Adapted Interaction
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 15th international conference on World Wide Web
User performance versus precision measures for simple search tasks
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation by comparing result sets in context
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Information Systems
Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Improved query difficulty prediction for the web
Proceedings of the 17th ACM conference on Information and knowledge management
Identification of ambiguous queries in web search
Information Processing and Management: an International Journal
Effective pre-retrieval query performance prediction using similarity and variability evidence
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Domain-specific entity and relationship extraction from query logs
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
An architecture and a prototype for querying and visualising recorded context information
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
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Today, if a website owner or blogger wants to provide a search interface on their web site, they have essentially two options: web search or site search. Site search is often too narrow and web search often too broad. We propose a context-specific alternative: the use of 'topical search engines' (TopS) providing results focused on a specific topic determined by the site owner. For example a photography blog could offer a search interface focused on photography. In this paper, we describe a promising new approach to easily create such topical search engines with minimal manual effort. In our approach, whenever we have enough contextual information, we alter ambiguous topic related queries issued to a generic search engine by adding contextual keywords derived from (topic-specific) query logs; the altered queries help focus the search engine's results to the specific topic of interest. Our solution is deployed as a query wrapper, requiring no change in the underlying search engine. We present techniques to automatically extract queries related to a topic from a web click graph, identify suitable query contexts from these topical queries, and use these contexts to alter queries that are ambiguous or under-specified. We present statistics on three topical search engine prototypes we created. We then describe an evaluation study with the prototypes we developed in the areas of photography and automobiles. We conducted three tests comparing these prototypes to baseline engines with and without fixed query refinements. In each test, we obtained preference judgments from over a hundred participants. Users showed a strong preference for TopS prototypes in all three tests, with statistically significant preference differences ranging from 16% to 42%.