Suggesting filters for search on online social networks

In one embodiment, a method includes receiving a search query from a client system of a first user; parsing the search query into n-grams, and calculating confidence-scores for entities in a set of query-analysis-entities based on the n-grams, each confidence-score representing a probability that on...

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Hauptverfasser: Rocha, Evan John, Goldblatt, David M, Mehta, Brinda, Totla, Prerna, Francisco, Daniel Cabral, Kalpathy, Krishna Jayaram, Winstanley, Melissa Rose, Ringger, Eric
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creator Rocha, Evan John
Goldblatt, David M
Mehta, Brinda
Totla, Prerna
Francisco, Daniel Cabral
Kalpathy, Krishna Jayaram
Winstanley, Melissa Rose
Ringger, Eric
description In one embodiment, a method includes receiving a search query from a client system of a first user; parsing the search query into n-grams, and calculating confidence-scores for entities in a set of query-analysis-entities based on the n-grams, each confidence-score representing a probability that one or more of the n-grams are intended to reference a respective entity; determining a set of search results matching the search query, and calculating entity-frequencies corresponding to entities in a set of results-analysis-entities based on a histogram analysis of the set of search results; calculating a filter-score entities in a set of prospective-entities, which includes entities from the set of query-analysis-entities and the set of results-analysis-entities, based on the respective confidence-score and entity-frequency; and sending, to the client system, suggested filters corresponding to entities having a filter-score greater than a threshold filter-score, the suggested filters being selectable to modify the set of search results.
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title Suggesting filters for search on online social networks
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