USING MODELS FOR TRIGGERING PERSONAL SEARCH
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a search query from a user, accessing a user model that is specific to the user and that includes one or more n-grams, one or more terms of the n-grams being associated with one or more annotations, the annotations indicating at least one context in which each of the one or more terms have been used, determining a user intent for the search query based on comparing one or more terms in the search query with the terms of n-grams in the user model, and receiving search results that are responsive to the search query, the search results being specific to the user intent.
1 . A computer-implemented method executed using one or more processors, the method comprising:
receiving, by the one or more processors, a search query from a user;
accessing, by the one or more processors, a user model that is specific to the user and that includes one or more n-grams, one or more terms of the n-grams being associated with one or more annotations, the annotations indicating at least one context in which each of the one or more terms have been used;
determining, by the one or more processors, a user intent for the search query based on comparing one or more terms in the search query with the terms of n-grams in the user model; and
receiving search results that are responsive to the search query, the search results being specific to the user intent.
2 . The method of claim 1 , wherein the user intent comprises at least one of a personal intent and a general intent.
3 . The method of claim 2 , wherein the personal intent comprises an intent to retrieve search results that are specific to the user.
4 . The method of claim 2 , wherein the general intent comprises an intent to retrieve search results that are agnostic to the user.
5 . The method of claim 1 , wherein the determining a user intent comprises:
determining an intent score based on the search query and the user model; and
comparing the intent score to one or more threshold intent scores.
6 . The method of claim 5 , wherein the intent score indicates a likelihood that the user intent is a personal intent.
7 . The method of claim 5 , further comprising determining that the intent score exceeds a threshold intent score and, in response, determining that the user intent comprises a personal intent.
8 . The method of claim 5 , further comprising determining that the intent score is less than a first threshold intent score and exceeds a second threshold intent score and, in response, determining that the user intent comprises a personal intent and a general intent.
9 . The method of claim 5 , wherein the intent score is determined based on one or more of a freshness of the particular n-grams in the user model, closeness of matches between terms in the search query and n-grams in the user model, a quality of search results that could be displayed to the user in response to the search query, and user search history.
10 . A system comprising:
one or more data sources; and
one or more processors configured to interact with the one or more data sources, the one or more processors being further configured to perform operations comprising:
receiving a search query from a user;
accessing a user model that is specific to the user and that includes one or more n-grams, one or more terms of the n-grams being associated with one or more annotations, the annotations indicating at least one context in which each of the one or more terms have been used;
determining a user intent for the search query based on comparing one or more terms in the search query with the terms of n-grams in the user model; and
receiving search results that are responsive to the search query, the search results being specific to the user intent.
11 . The system of claim 10 , wherein the user intent comprises at least one of a personal intent and a general intent.
12 . The system of claim 11 , wherein the personal intent comprises an intent to retrieve search results that are specific to the user.
13 . The system of claim 11 , wherein the general intent comprises an intent to retrieve search results that are agnostic to the user.
14 . The system of claim 10 , wherein the determining a user intent comprises:
determining an intent score based on the search query and the user model; and
comparing the intent score to one or more threshold intent scores.
15 . The system of claim 14 , wherein the intent score indicates a likelihood that the user intent is a personal intent.
16 . The system of claim 14 , wherein operations further comprise determining that the intent score exceeds a threshold intent score and, in response, determining that the user intent comprises a personal intent.
17 . The system of claim 14 , wherein operations further comprise determining that the intent score is less than a first threshold intent score and exceeds a second threshold intent score and, in response, determining that the user intent comprises a personal intent and a general intent.
18 . The system of claim 14 , wherein the intent score is determined based on one or more of a freshness of the particular n-grams in the user model, closeness of matches between terms in the search query and n-grams in the user model, a quality of search results that could be displayed to the user in response to the search query, and user search history.
19 . A computer readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
receiving a search query from a user;
accessing a user model that is specific to the user and that includes one or more n-grams, one or more terms of the n-grams being associated with one or more annotations, the annotations indicating at least one context in which each of the one or more terms have been used;
determining a user intent for the search query based on comparing one or more terms in the search query with the terms of n-grams in the user model; and
receiving search results that are responsive to the search query, the search results being specific to the user intent.
20 . The computer readable medium of claim 19 , wherein the user intent comprises at least one of a personal intent and a general intent.
21 . The computer readable medium of claim 20 , wherein the personal intent comprises an intent to retrieve search results that are specific to the user.
22 . The computer readable medium of claim 20 , wherein the general intent comprises an intent to retrieve search results that are agnostic to the user.
23 . The computer readable medium of claim 19 , wherein the determining a user intent comprises:
determining an intent score based on the search query and the user model; and
comparing the intent score to one or more threshold intent scores.
24 . The computer readable medium of claim 23 , wherein the intent score indicates a likelihood that the user intent is a personal intent.
25 . The computer readable medium of claim 23 , wherein operations further comprise determining that the intent score exceeds a threshold intent score and, in response, determining that the user intent comprises a personal intent.
26 . The computer readable medium of claim 23 , wherein operations further comprise determining that the intent score is less than a first threshold intent score and exceeds a second threshold intent score and, in response, determining that the user intent comprises a personal intent and a general intent.
27 . The computer readable medium of claim 23 , wherein the intent score is determined based on one or more of a freshness of the particular n-grams in the user model, closeness of matches between terms in the search query and n-grams in the user model, a quality of search results that could be displayed to the user in response to the search query, and user search history.