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Predicting user behavior using feedback on previously run predictive searches
Predicting user behavior using feedback on previously run predictive searches
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机译:使用先前运行的预测搜索的反馈来预测用户行为
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摘要
Systems, methods, and devices use search terms, current state information, historical data, and expected location hints to predict where a user may be when a search may be relevant. In an embodiment, search terms entered on a first user computing device may be combined with location information resident on a second user computing device to determine where a user is likely to be and what results are likely to be relevant to a user in the future. In a further embodiment, relevant search terms indicative of time, such as “tomorrow” or “tonight,” and/or user-related information may also be used to return predictive search results. In a further embodiment, user-related information from other users may also be used to return predictive search results.
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