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In this paper, we introduce a query suggestion approach to reuse users' search context and search logs. For a given search log, we integrate two pieces of wisdom embedded in the search context: consecutive queries and reformulation patterns between consecutive queries. When providing suggestions online, we extract concepts that represent the user's intent(More)
Previous studies reveal that half of the queries submitted to search engines have no follow-up click-through data. This may indicate that users are either dissatisfied with the performance of current search engines or have difficulty formulating correct query keywords related to their search intents. To address this issue, this paper proposes a query(More)
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