Determining Related Query Terms Through Query-Post Associations on Online Social Networks
AssigneeFacebook, Inc.
InventorsChang Kuang Huang, Yi Zeng
Life of this patent
Estimating the term…
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AssigneeFacebook, Inc.
InventorsChang Kuang Huang, Yi Zeng
Estimating the term…
In one embodiment, a method includes receiving an text query, identifying and ranking multiple content objects corresponding to character strings from the text query. A computing system determines the ranking based on an analysis of the association between the terms in the content objects and the n-grams in the query using term frequency-inverse document frequency (TF-IDF) scores of the terms. The computing system accesses a query-term index to determine the TF-IDF scores for the terms, wherein the query-term index includes multiple entries corresponding to multiple terms extracted from multiple prior queries. Each entry in the query-term index includes a query term, one or more related terms extracted from content objects of the online social network matching the prior query term, and a term frequency-inverse document frequency (TF-IDF) score for the respective related terms.
A method comprising, by one or more computing systems:
One or more computer-readable non-transitory storage media embodying software that is operable when executed to:
A system comprising:
Dependencies are inferred from the claim text.