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篇名
Intent Shift Detection Using Search Query Logs
作者 Wang, Chieh-jen (Wang, Chieh-jen)Chen, Hsin-hsi (Chen, Hsin-hsi)
中文摘要
Detecting intent shift is fundamental for learning users’ behaviors and applying their experiences. In this paper, we propose a search-query-log based system to predict users’ intent shifts. We begin with selecting sessions in search query logs for training, extracting features from the selected sessions, and clustering sessions of similar intent. The resulting intent clusters are used to predict intent shift in testing data. The experimental results show that the proposed model achieves an accuracy of 0.5099, which is significantly better than the baselines. Moreover, the miss rate and spurious rate of the model are 0.0954 and 0.0867, respectively.
起訖頁 61-76
關鍵詞 Intent shift detectionIntent analysisSearch query logs analysis
刊名 中文計算語言學期刊  
期數 201109 (16:3-4期)
出版單位 中華民國計算語言學學會
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