Mobile query suggestions with time-location awareness
A time and mobile search technology, applied in the field of time-location-aware mobile query suggestion, which can solve the problem of difficulty in integrating other factors
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[0019] This summary describes the integration of time and location information associated with query input in order to improve mobile query suggestions. For example, a time-location awareness (TLA) application can operate as a mobile search engine to provide relevant query suggestions, which are recommendations for users to perform further searches. Typical methods for measuring the distance between similar queries include: using keywords or query phrases, matching keywords between queries, associating uniform resource locators (URLs) that are usually clicked with queries, or calculating and query associations The similarity between the clicked documents. The TLA application also categorizes these methods into two types, namely content-based methods and link-based metrics. Content-based methods suggest queries based on string matching or semantic similarity. Link-based metrics suggest related queries by exploring links between query nodes, regardless of the c...
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