SESSION-AWARE RELATED SEARCH GENERATION

In an embodiment, the disclosed technologies include extracting, from at least one search log, session data including at least three semantically related queries and corresponding timestamp data; using the session data, creating a training sequence that includes source query data, context query data...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Wan, Zhong Yi, Kazi, Michaeel M, Guo, Weiwei, Long, Bo, Gao, Huiji
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:In an embodiment, the disclosed technologies include extracting, from at least one search log, session data including at least three semantically related queries and corresponding timestamp data; using the session data, creating a training sequence that includes source query data, context query data, and target query data, the source query data having both a temporal relationship and a lexical relationship to the target query data and the context query data having a temporal relationship to the source query data; creating a learned model by, using a machine learning-based modeling process, learning a mapping of a semantic representation of the context query data and the source query data to a semantic representation of the target query data; in response to a new query, using the learned model to generate at least one recommended query that is semantically related to the new query.