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- W2130725040 abstract "Web search engines incorporate results from structured data sources to answer semantically rich user queries, i.e. Samsung 50 inch led tv can be answered from a table of television data. However, users are not domain experts and quite often enter values that do not match precisely the underlying data, so a literal execution will return zero results. A search engine would prefer to return at least a minimum number of results as close to the original query as possible while providing a time-bound execution guarantee. In this paper, we formalize these requirements, show the problem is NP-Hard and present approximation algorithms that produce rewrites that work in practice. We empirically validate our algorithms on large-scale data from a major search engine." @default.
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- W2130725040 date "2011-10-24" @default.
- W2130725040 modified "2023-09-27" @default.
- W2130725040 title "Efficient query rewrite for structured web queries" @default.
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- W2130725040 doi "https://doi.org/10.1145/2063576.2063981" @default.
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