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US 10,853,360 B2Granted
Searchable index
AssigneeGoogle Inc.
InventorsJeremiah Harmsen, Tushar Deepak Chandra, Marcus Fontoura
Life of this patent
Estimating the term…
Abstract
Systems and techniques are disclosed for generating entries for a searchable index based on rules generated by one or more machine-learned models. The index entries can include one or more tokens correlated with an outcome and an outcome probability. A subset of tokens can be identified based on the characteristics of an event. The index may be searched for outcomes and their respective probabilities that correspond to tokens that are similar to or match the subset of tokens based on the event.
Claims20
A computer-implemented method, comprising:
- before receiving, at a search system, a subsequent query that is associated with at least one or more features:
- generating, using a predictive model and by the search system, data indicating a predicted relevance of a particular item of content to a query that is associated with the one or more features, wherein the predicted relevance is generated by the predictive model based at least on the one or more features;
- and
- storing, by the search system and in a record entry of a database for a search index, data that associates the particular item of content and the one or more features with the data indicating the predicted relevance generated by the predictive model;
- receiving, at the search system, the subsequent query that is associated with at least the one or more features;
- in response to receiving the subsequent query:
- accessing, by the search system, the record entry of the database for the search index to identify the particular item and the predicted relevance that was previously generated by the predictive model based at least on the one or more features associated with the subsequent query;
- selecting, using the predicted relevance, the particular item of content;
- and
- providing data identifying the particular item of content in response to the subsequent query.
7 more elements
A system comprising:
- one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
- before receiving, at a search system, a subsequent query that is associated with at least one or more features:
- generating, using a predictive model and by the search system, data indicating a predicted relevance of a particular item of content to a query that is associated with the one or more features, wherein the predicted relevance is generated by the predictive model based at least on the one or more features;
- and
- storing, by the search system and in a record entry of a database for a search index, data that associates the particular item of content and the one or more features with the data indicating the predicted relevance generated by the predictive model;
- receiving, at the search system, the subsequent query that is associated with at least the one or more features;
- in response to receiving the subsequent query:
- accessing, by the search system, the record entry of the database for the search index to identify the particular item and the predicted relevance that was previously generated by the predictive model based at least on the one or more features associated with the subsequent query;
- selecting, using the predicted relevance, the particular item of content;
- and
- providing data identifying the particular item of content in response to the subsequent query.
8 more elements
A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:
- before receiving, at a search system, a subsequent query that is associated with at least one or more features:
- generating, using a predictive model and by the search system, data indicating a predicted relevance of a particular item of content to a query that is associated with the one or more features, wherein the predicted relevance is generated by the predictive model based at least on the one or more features;
- and
- storing, by the search system and in a record entry of a database for a search index, data that associates the particular item of content and the one or more features with the data indicating the predicted relevance generated by the predictive model;
- receiving, at the search system, the subsequent query that is associated with at least the one or more features;
- in response to receiving the subsequent query:
- accessing, by the search system, the record entry of the database for the search index to identify the particular item and the predicted relevance that was previously generated by the predictive model based at least on the one or more features associated with the subsequent query;
- selecting, using the predicted relevance, the particular item of content;
- and
- providing data identifying the particular item of content in response to the subsequent query.
7 more elements
Dependencies are inferred from the claim text.