Learning Online Trends for Interactive Query Auto-Completion.

IEEE Transactions on Knowledge and Data Engineering(2017)

引用 16|浏览91
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摘要
Query auto-completion (QAC) is widely used by modern search engines to assist users by predicting their intended queries. Most QAC approaches rely on deterministic batch learning algorithms trained from past query log data. However, query popularities keep changing all the time and QAC operates in a real-time scenario where users interact with the search engine continually. So, ideally, QAC must b...
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关键词
Bayes methods,Market research,Search engines,Electronic mail,Context modeling,Predictive models,Decision making
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