Proceedings of the 15th international conference on World Wide Web
Agreeing to disagree: search engines and their public interfaces
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Web page retrieval in ubiquitous sensor environments
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Web searching for daily living
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Improving the performance of focused web crawlers
Data & Knowledge Engineering
Context-aware web search in ubiquitous sensor environments
ACM Transactions on Internet Technology (TOIT)
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Research on buying behavior indicates that buying guides perform an important role in the overall buying process. However, while the Web contains many buying guides, finding those guides is difficult to impossible for the average consumer. Web search engines typically index many buying guides on many topics, but simple queries do not often return these results. Given this, we built a Web carnivore that finds buying guides on behalf of consumers. Web carnivores leverage the crawling, scrubbing, indexing and ranking activities of Web searchengines (the "herbivores") to provide more specific services. Ours finds buying guides by issuing machine-generated queries to Google and filtering the results.This paper describes our system and quantitatively compares it to a basic search engine. Our system almost always returns more buying guides, often twice as many. Our user study also suggests that we return better buying guides. Finding buying guides is an instance of the more general problem of "genre search;" this paper points out novel aspects of our system that are applicable to a variety of genre-search problems.