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- 233 creator ovidiu-dan.
- 233 creator pavel-dmitriev.
- 233 creator ryen-w-white.
- 233 type InProceedings.
- 233 label "Mining for Insights in the Search Engine Query Stream".
- 233 sameAs 233.
- 233 abstract "Search engines record a large amount of metadata each time a user issues a query. While efficiently mining this data can be challenging, the results can be useful in multiple ways, including monitoring search engine performance, improving search relevance, prioritizing research, and optimizing day-to-day operations. In this poster, we describe an approach for mining query log data for actionable insights - specific query segments (sets of queries) that require attention, and actions that need to be taken to improve the segments. Starting with a set of important metrics, we identify query segments that are "interesting" with respect to these metrics using a distributed frequent itemset mining algorithm.".
- 233 hasAuthorList authorList.
- 233 isPartOf proceedings.
- 233 isPartOf proceedings.
- 233 keyword "FP-Growth".
- 233 keyword "Frequent itemset mining".
- 233 keyword "Query log analysis".
- 233 title "Mining for Insights in the Search Engine Query Stream".