{"id":157690,"date":"2007-05-01T00:00:00","date_gmt":"2007-05-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/long-query-suggestion-list-prioritized-or-organized\/"},"modified":"2018-10-16T19:59:45","modified_gmt":"2018-10-17T02:59:45","slug":"long-query-suggestion-list-prioritized-or-organized","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/long-query-suggestion-list-prioritized-or-organized\/","title":{"rendered":"Long Query Suggestion List: Prioritized or Organized?"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Query suggestion, offering related queries to users\u2019 original queries, is proven as an effective solution for users\u2019 difficulty in query formulation. However, the benefits of query suggestion are limited by difficulties in presentation of long query suggestion list. To address this issue, we proposed two approaches: (1) Prioritized, split the most searched and the rest to up and bottom respectively; (2) Organized, categorize the terms as refined and related, and cluster the terms into those two categories by similarity. User study shows organized presentation of long query suggestion list is more efficient and preferable than Prioritized presentation.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Query suggestion, offering related queries to users\u2019 original queries, is proven as an effective solution for users\u2019 difficulty in query formulation. However, the benefits of query suggestion are limited by difficulties in presentation of long query suggestion list. To address this issue, we proposed two approaches: (1) Prioritized, split the most searched and the rest 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