USING MODELS TO ANNOTATE SEARCH QUERIES

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;

annotating, by the one or more processors, one or more terms in the search query to provide an annotated search query, annotations being provided from user model; and

receiving, by the one or more processors, search results that are responsive to the annotated search query.

2 . The method of claim 1 , wherein the annotating comprises:

determining that the one or more terms in the search query correspond to respective terms in n-grams of the user model; and

annotating the one or more terms using annotations associated with the respective terms in the n-grams.

3 . The method of claim 1 , wherein the annotations of the user model structure data stored in the user model.

4 . The method of claim 1 , wherein n-grams of the user model are provided from a plurality of documents, the plurality of documents being associated with the user and having been generated using a plurality of computer-implemented services.

5 . The method of claim 4 , wherein the at least one context comprises a context of at least one document of the plurality of documents.

6 . The method of claim 1 , further comprising determining a user intent associated with the search query, wherein annotating the search query is executed in response to the user intent.

7 . The method of claim 6 , wherein the user intent comprises a personal intent.

8 . The method of claim 1 , wherein the search results comprise personal search results that are specific to the user.

9 . 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;

annotating one or more terms in the search query to provide an annotated search query, annotations being provided from user model; and

receiving search results that are responsive to the annotated search query.

10 . The system of claim 9 , wherein the annotating comprises:

determining that the one or more terms in the search query correspond to respective terms in n-grams of the user model; and

annotating the one or more terms using annotations associated with the respective terms in the n-grams.

11 . The system of claim 9 , wherein the annotations of the user model structure data stored in the user model.

12 . The system of claim 9 , wherein n-grams of the user model are provided from a plurality of documents, the plurality of documents being associated with the user and having been generated using a plurality of computer-implemented services.

13 . The system of claim 12 , wherein the at least one context comprises a context of at least one document of the plurality of documents.

14 . The system of claim 9 , wherein operations further comprise determining a user intent associated with the search query, wherein annotating the search query is executed in response to the user intent.

15 . The system of claim 6 , wherein the user intent comprises a personal intent.

16 . The system of claim 9 , wherein the search results comprise personal search results that are specific to the user.

17 . 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;

annotating one or more terms in the search query to provide an annotated search query, annotations being provided from user model; and

receiving search results that are responsive to the annotated search query.

18 . The computer readable medium of claim 17 , wherein the annotating comprises:

determining that the one or more terms in the search query correspond to respective terms in n-grams of the user model; and

annotating the one or more terms using annotations associated with the respective terms in the n-grams.

19 . The computer readable medium of claim 17 , wherein the annotations of the user model structure data stored in the user model.

20 . The computer readable medium of claim 17 , wherein n-grams of the user model are provided from a plurality of documents, the plurality of documents being associated with the user and having been generated using a plurality of computer-implemented services.

21 . The computer readable medium of claim 20 , wherein the at least one context comprises a context of at least one document of the plurality of documents.

22 . The computer readable medium of claim 17 , wherein operations further comprise determining a user intent associated with the search query, wherein annotating the search query is executed in response to the user intent.

23 . The computer readable medium of claim 22 , wherein the user intent comprises a personal intent.

24 . The computer readable medium of claim 17 , wherein the search results comprise personal search results that are specific to the user.