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.
Claims26
1-25. (canceled)
A computer-implemented method comprising:
- receiving, from a predictive model, data indicating a predicted likelihood of a user selecting a particular item of content, wherein the predicted likelihood is generated by the predictive model based at least on one or more features relating to (i) the user, (ii) a search query submitted by the user, (iii) the particular item of content, (iv) a device associated with the user, or (v) a current condition;
- and
- storing, in a search index, data that associates (i) the particular item of content, (ii) the predicted likelihood, and (iii) one or more of the features.
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:
- receiving, from a predictive model, data indicating a predicted likelihood of a user selecting a particular item of content, wherein the predicted likelihood is generated by the predictive model based at least on one or more features relating to (i) the user, (ii) a search query submitted by the user, (iii) the particular item of content, (iv) a device associated with the user, or (v) a current condition;
- and
- storing, in a search index, data that associates (i) the particular item of content, (ii) the predicted likelihood, and (iii) one or more of the features.
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:
- receiving, from a predictive model, data indicating a predicted likelihood of a user selecting a particular item of content, wherein the predicted likelihood is generated by the predictive model based at least on one or more features relating to (i) the user, (ii) a search query submitted by the user, (iii) the particular item of content, (iv) a device associated with the user, or (v) a current condition;
- and
- storing, in a search index, data that associates (i) the particular item of content, (ii) the predicted likelihood, and (iii) one or more of the features.
Dependencies are inferred from the claim text.