QUERY TOPIC MAP

1 . A method of, comprising:

determining one or more trending subtopics associated with a topic included in a query;

receiving a selection of the one or more trending subtopics; and

providing one or more web documents associated with the selected trending subtopic.

2 . The method of claim 1 , further comprising receiving the query comprising one or more words.

3 . The method of claim 2 , further comprising determining the topic based on the one or more words.

4 . The method of claim 1 , wherein the one or more web documents are mapped to the selected subtopic.

5 . The method of claim 4 , wherein a data structure stores a mapping of the one or more web documents to the selected subtopic.

6 . The method of claim 1 , wherein the determined one or more subtopics associated with the topic included in the query are determined to be trending subtopics.

7 . The method of claim 1 , wherein the determined one or more trending subtopics associated with the topic included in the query are determined to be trending subtopics based at least in part on a relevance score.

8 . The method of claim 7 , wherein the relevance score is based on a cosine similarity.

9 . The method of claim 1 , wherein the determined one or more trending subtopics associated with the topic included in the query are determined to be trending subtopics based at least in part on a trending score.

10 . The method of claim 1 , wherein the determined one or more trending subtopics associated with the topic included in the query are determined to be trending subtopics based at least in part on a delta score.

11 . The method of claim 1 , further comprising ranking the determined one or more trending subtopics associated with the topic included in the query.

12 . The method of claim 11 , wherein ranking the determined one or more trending subtopics associated with the topic included in the query is based at least in part on a corresponding confidence score associated the determined one or more subtopics.

13 . The method of claim 12 , wherein the corresponding confidence score associated with the determined one or more trending subtopics is based at least in part on one or more of a relevance score, a trending score, and/or a delta score.

14 . A system, comprising:

a processor configured to:

determine one or more trending subtopics associated with a topic included in a query;

receive a selection of the one or more trending subtopics; and

provide one or more web documents associated with the selected trending subtopic; and

a memory coupled to the processor and configured to provide the processor with instructions.

15 . The system of claim 14 , wherein the processor is further configured to receive the query comprising one or more words.

16 . The system of claim 14 , wherein the one or more web documents are mapped to the selected subtopic.

17 . The system of claim 16 , wherein a data structure stores a mapping of the one or more web documents to the selected subtopic.

18 . The system of claim 14 , wherein the determined one or more trending subtopics associated with the topic included in the query are determined to be trending subtopics based at least in part on one or more of a relevance score, a trending score, or a delta score.

19 . A computer program product, the computer program product being embodied in a tangible computer readable storage medium and comprising computer instructions for:

determining one or more subtopics associated with a topic included in a query;

receiving a selection of the one or more subtopics; and

providing one or more web documents associated with the selected subtopic.

20 . The computer program product of claim 19 , wherein the determined one or more trending subtopics associated with the topic included in the query are determined to be trending subtopics based at least in part on one or more of a relevance score, a trending score, or a delta score.