TREND RESPONSE MANAGEMENT

• US 20150227517A1
• Filed: 02/07/2014
• Published: 08/13/2015
• Est. Priority Date: 02/07/2014
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: LYMBEROPOULOS, Dimitrios, Burger, Doug, RIVA, Oriana, STRAUSS, Karin, PEKHIMENKO, Gennady
• Granted Patent: US 9,785,661 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/172 Caching, prefetching or hoarding of files
• CPC Class Codes: G06F 16/2255 Hash tables
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9574 of access to content, e.g. by caching

Abstract

This document relates to trend response management. One example can detect a trending topic and identify content associated with the trending topic. The example can take an action relating to the content that decreases a trend-induced processing spike and/or enhances a user search experience associated with the trending topic.

Claims

1. A method performed by one or more computing devices, comprising:

obtaining a set of trending keywords from search queries;

identifying a trending topic associated with a subset of the search queries that include at least some of the trending keywords;

identifying search results that were returned to the subset of the search queries and selected by users;

identifying other search queries that are not in the subset of the search queries but that return the selected search results; and

,

creating a dataset for the trending topic that includes the subset of the search queries and the other search queries mapped to the selected search results.

2. The method of claim 1, wherein the identifying a trending topic comprises:

distinguishing a subset of the keywords that tend to be co-located in the search queries;

determining the trending topic from the subset of the keywords;

detecting the subset of the search queries that relate to the trending topic based upon the subset of the keywords; and

,

recognizing the search results that were returned for the subset of the search queries and that were selected by individual users.

3. The method of claim 1, further comprising picking individual users to send the dataset to who have not already searched for the trending topic but have recently submitted unrelated search queries.

4. The method of claim 1, wherein the computing devices comprise server computing devices that also provide a search engine functionality.

5. One or more computer-readable storage media having computer-executable instructions that, when executed by a processor, perform acts comprising:

detecting a trending topic;

identifying content associated with the trending topic; and

,

sending the content to a set of active users that may subsequently search for the trending topic.

6. The computer-readable storage media of claim 5, wherein the identifying content comprises identifying trending search content that comprises trending queries submitted by other users and uniform resource locators (URLs) returned to the other users and selected by the other users.

7. The computer-readable storage media of claim 6, wherein the sending comprises hashing the trending search content into a trending content update hash table that references trending queries to search results.

8. The computer-readable storage media of claim 7, further comprising compressing the hash table.

9. The computer-readable storage media of claim 5, wherein a first subset of the active users are defined as having submitted at least a predefined number of search queries over a period of time and wherein a second subset of the active users have submitted at least one search query within a predefined time before the detecting.

10. The computer-readable storage media of claim 5, wherein the sending comprises pushing the content when an individual user submits an unrelated search query and the content is piggybacked with search results to the unrelated search query back to the individual user.

11. The computer-readable storage media of claim 10, wherein the pushing is performed when the individual user is one of the active users and/or when the individual user is not one of the active users.

12. The computer-readable storage media of claim 5, wherein the sending comprises comparing the content to profiles of the active users to determine a likelihood that individual active users are interested in the trending topic and pushing the content to the user in an instance when the likelihood exceeds a threshold.

13. A device, comprising:

a display;

storage configured to store computer-readable instructions; and

,

a processor configured to execute the computer-readable instructions to;

receive a user search query,

send the user search query to a remote service,

obtain a set of packets from the remote service that includes search results for the user search query and a dataset relating to a trending search topic, wherein the user search query is unrelated to the trending search topic,

store the dataset on the storage,

receive a subsequent search query from the user relating to the trending search topic,

retrieve other search results for the subsequent search query relating to the trending topic from the dataset stored on the storage, and,

present the other search results for the subsequent search query on the display.

14. The device of claim 13, wherein the processor is configured to retrieve the other search results from the storage rather than sending the subsequent search query to the remote service or wherein the processor is configured to retrieve the other search results from the storage and is further configured to request updated search results and/or additional related content from the service while presenting the other search results from the dataset stored on the storage.

15. The device of claim 13, wherein the dataset maps queries related to the trending search topic to search results relating to the trending search topic.

16. The device of claim 13, wherein the dataset includes search queries relating to the trending search topic and links to websites relating to the search queries.

17. The device of claim 16, wherein the dataset further includes content from the websites.

18. The device of claim 13, wherein the dataset comprises a hash table.

19. The device of claim 13, wherein the computer-readable instructions are manifest as a web-content application that is stored on the device.

20. The device of claim 19, wherein the web-content application includes a search engine and a trend response management component that are cooperatively configured to search the dataset on the device before accessing the remote service.