Automatic Suggestion for PubMed Query Reformulation
نویسندگان
چکیده
منابع مشابه
An Expert System for Automatic Query Reformulation
Unfamiliarity with search tactics creates difficulties for many users of online retrieval systems. User observations indicate that even experienced searchers use vocabulary incorrectly and rarely reformulate their queries. To address these problems, an expert system for online search assistance was developed. This prototype automatically reformulates queries to improve the search results, and r...
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Users tend to use their own terms to search items in structured search systems such as restaurant searches (e.g. Yelp), but due to users’ lack of understanding on internal vocabulary and structures, they often fail to adequately search, which leads to unsatisfying search results. In this case, search systems should assist users to use different terms for better search results. To address this i...
متن کاملWeb Search Intent Induction via Automatic Query Reformulation
We present a computationally efficient method for automatic grouping of web search results based on reformulating the original query to alternative queries the user may have intended. The method requires no data other than query logs and the standard inverted indices used by most search engines. Our method outperforms standard web search in the task of enabling users to quickly find relevant do...
متن کاملDiversifying Query Suggestion Results
In order to improve the user search experience, Query Suggestion, a technique for generating alternative queries to Web users, has become an indispensable feature for commercial search engines. However, previous work mainly focuses on suggesting relevant queries to the original query while ignoring the diversity in the suggestions, which will potentially dissatisfy Web users’ information needs....
متن کاملPseudo-Query Reformulation
Automatic query reformulation refers to rewriting a user’s original query in order to improve the ranking of retrieval results compared to the original query. We present a general framework for automatic query reformulation based on discrete optimization. Our approach, referred to as pseudoquery reformulation, treats automatic query reformulation as a search problem over the graph of unweighted...
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ژورنال
عنوان ژورنال: Journal of Computing Science and Engineering
سال: 2012
ISSN: 1976-4677
DOI: 10.5626/jcse.2012.6.2.161