Web-Used Pattern Insight Platform

• US 20110029516A1
• Filed: 07/30/2009
• Published: 02/03/2011
• Est. Priority Date: 07/30/2009
• Status: Active Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Lyamtsev, Aleksandr, Wu, Jin, Suzuki, Keiichiro, Hotani, Staya Priya, Nguyen, Tho Van, Yang, Li, Thapar, Smridh, Gao, Yuan, Galande, Ashutosh, Zhao, Mingyang, Ainslie, Charles, Sridharan, Harini, Yang, Shuang, Kumthekar, Aditee, Chang, Qing, Kamani, Prashant, Mehta, Reshma
• Application Number:
  US12/512,859
• Publication Number:
  US 20110029516A1
• Time in Patent Office: Days
• US Class Current: 707/734
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation

Abstract

A web site usage pattern insight platform may be provided. User behaviors associated with web page requests, including search queries, may be captured and analyzed to provide usage pattern insights. The pattern insights may be aggregated across a plurality of users and may be used to provide recommendations for improving a system that hosts the web pages.

Claims

1. A method for providing web usage pattern insights, the method comprising:

capturing a plurality of user behaviors;

analyzing the plurality of user behaviors to identify a usage pattern;

categorizing the usage pattern; and

providing a report of the identified usage pattern.

2. The method of claim 1, wherein at least one of the user behaviors comprises a user behavior captured by a client-side logging object.

3. The method of claim 1, wherein at least one of the user behaviors comprises a user behavior captured by a server-side logging object.

4. The method of claim 1, wherein the provided report comprises a plurality of aggregated behavior statistics.

5. The method of claim 4, further comprising customizing the provided report according to an attribute associated with a user to whom the report is provided.

6. The method of claim 5, wherein customizing the provided report according to an attribute associated with a user to whom the report is provided comprises restricting at least one of the aggregated behavior statistics from view by the user.

7. The method of claim 5, wherein customizing the provided report according to an attribute associated with a user to whom the report is provided comprises allowing the user to filter the plurality of aggregated behavior statistics.

8. The method of claim 1, further comprising recommending a change to a web site associated with the plurality of user behaviors.

9. The method of claim 1, further comprising providing a syndication feed of the analyzed user behaviors.

10. The method of claim 1, wherein the analyzed plurality of user behaviors comprises at least one of the following:

a search query returning no results, and a search query returning no user-accepted results.

11. The method of claim 10, wherein the usage pattern identified from the analyzed plurality of user behaviors comprises a dissatisfaction with a search query.

12. The method of claim 11, wherein the provided report comprises a list of a plurality of search queries for which users are dissatisfied.

13. The method of claim 12, further comprising providing a recommendation to add content associated with at least one of the plurality of search queries for which users are dissatisfied.

14. A computer-readable medium which stores a set of instructions which when executed performs a method for providing web usage pattern insights, the method executed by the set of instructions comprising:

capturing a plurality of usage data associated with a web page request;

categorizing each of the plurality of usage data;

analyzing the plurality of usage data to identify a usage pattern; and

providing a report of the identified usage pattern.

15. The computer-readable medium of claim 14, wherein categorizing each of the plurality of usage data comprises associating each of the plurality of usage data with at least one of the following categories:

traffic, search, and inventory.

16. The computer-readable medium of claim 14, wherein providing the report of the identified usage pattern comprises providing a user interface element for receiving a filtering criteria.

17. The computer-readable medium of claim 16, wherein the filtering criteria comprises at least one of the following:

a user associated with at least one of the plurality of usage data, a content type, a search scope, a date range, and an exclusion criteria.

18. The computer-readable medium of claim 14, further comprising configuring a layout of the provided report.

19. The computer-readable medium of claim 14, further comprising providing a syndication feed of identified usage patterns.

20. A system for providing a web site usage insight platform, the system comprising:

a memory storage; and

a processing unit coupled to the memory storage, wherein the processing unit is operative to;

receive a request for a web page from a client, wherein the request for the web page comprises at least one search query;

send the requested web page to the client, wherein the requested web page comprises at least one search result;

capture a plurality of user behaviors associated with the client, wherein the captured plurality of user behaviors comprises at least one first user behavior captured by the system and at least one second user behavior captured by the client;

identify at least one usage pattern according to the captured plurality of user behaviors;

aggregate the identified at least one usage pattern with a plurality of other usage patterns identified according to a plurality of other user behaviors associated with at least one other client;

determine whether the aggregated usage patterns indicate a potential system improvement according to at least one configurable metric; and

in response to determining that the aggregated usage patterns indicate a potential system improvement according to at least one configurable metric, provide a recommendation for improving the system.