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Context-aware query suggestion by mining log data
Context-aware query suggestion by mining log data
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机译:通过挖掘日志数据的上下文感知查询建议
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摘要
Techniques described herein describe a context-aware query suggestion process. Context of a current query may be calculated by analyzing a sequence of previous queries. Historical search data may be mined to generate groups of query suggestion candidates. Using the context of the current query, the current query may be matched with the groups of query suggestion candidates to find a matching query suggestion candidate, which may be provided to the user.
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