METHOD AND SYSTEM FOR PROVIDING WEBSITE CONTENT

• US 20110029515A1
• Filed: 07/31/2009
• Published: 02/03/2011
• Est. Priority Date: 07/31/2009
• Status: Abandoned Application

• Current Assignee: Micro Focus LLC (Open Text Corporation)
• Original Assignee: Micro Focus LLC (Open Text Corporation)
• Inventors: Suermondt, Henri J., Forman, George, Scholz, Martin B., Rajaram, Shyam Sundar, Lukose, Rajan
• Application Number:
  US12/533,763
• Publication Number:
  US 20110029515A1
• Time in Patent Office: Days
• US Class Current: 707/732
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

An exemplary embodiment of the present invention provides a method of receiving Website content. The method includes generating a user profile comprising a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries. The method includes providing the relevant cluster types included in the user profile to a selected Website, wherein the cluster type sent to the Website is used by the Website at least in part to determine the content provided by the Website.

Claims

1. A method of receiving Website content, comprising:

generating a user profile comprising a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries; and

providing the cluster type included in the user profile to a selected Website, wherein the cluster type provided to the Website is used by the Website, at least in part to determine content provided by the Website.

2. The method of claim 1, further comprising determining a matching cluster type, the matching cluster type being the cluster type that is common to both the user profile and the selected Website.

3. The method of claim 1, wherein each of the cluster types in the list of cluster types corresponds to a list of Websites and a corresponding list of words that relate to content available on the Website.

4. The method of claim 1, wherein generating the user profile comprises obtaining a search term during a search query and identifying the cluster type associated with the search term.

5. The method of claim 4, wherein identifying the cluster type associated with the search term comprises:

generating a bag of words based on the search term; and

identifying the cluster type associated with the bag of words.

6. The method of claim 5, wherein generating the bag of words based on the search term comprises:

performing an additional search query using the search term;

obtaining words from a Website identified via the search query; and

adding the words to the bag of words.

7. The method of claim 1, wherein generating the user profile comprises:

adding the cluster type to the user profile; and

adding a time factor associated with the cluster type to the user profile.

8. A computer system, comprising:

a processor that is adapted to execute machine-readable instructions;

a storage device that is adapted to store data, the data comprising a user profile that includes a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries performed from a plurality of user IDs across a plurality of Websites; and

a memory device that stores instructions that are executable by the processor, the instructions comprising;

an Internet browser configured to access a selected Web site over a network interface and receive Web content corresponding to the cluster type sent from the computer system to the selected Web site;

a profile generator that adds the cluster type to the user profile based on search queries performed from the user ID; and

a cluster type comparator that sends the cluster type from the user profile to a selected Web page.

9. The computer system of claim 8, wherein the cluster type comparator is configured to identify a matching cluster type, the matching cluster type being the cluster type that is common to both the user profile and the selected Web site.

10. The computer system of claim 8, wherein the instructions comprise a bag-of-words generator that:

receives a search term used in a search query performed from the user ID;

performs a new search query using the search term to identify a second Website; and

adds word from the second Website to a bag of words.

11. The computer system of claim 10, wherein the profile generator is configured to add the cluster type to the user profile that corresponds with the bag of words.

12. The computer system of claim 8, wherein the profile generator is configured to add time stamps to the user profile, the time stamps corresponding to a date, time, or both, that the cluster type was added to the user profile.

13. The computer system of claim 8, wherein the profile generator is configured to add frequency indicators to the user profile, the frequency indicators corresponding to a number of times that each cluster type was added to the user profile.

14. The computer system of claim 8, wherein the list of cluster types is determined via at least one of clustering, co-clustering, or information-theoretic co-clustering.

15. The computer system of claim 9, wherein the instructions comprise a cluster-type evaluator adapted to rank the matching cluster types according to a magnitude of user interest, a length of time that has elapsed since the matching cluster type was added to the user profile, or both.

16. A tangible, computer-readable medium, comprising code configured to direct a processor to:

access a selected Web page;

analyze a list of clusters to identify a first list of cluster types corresponding with the selected Web page;

analyze a user profile comprising a second list of cluster types to identify a matching cluster type that is common to both the first list and the second list; and

send the matching cluster type to the selected Web page.

17. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to rank the matching cluster type according to a magnitude of user interest.

18. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to rank the matching cluster type according to a length of time that has elapsed since the matching cluster type was most recently updated in the user profile.

19. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to add the cluster type to the second list of cluster types included in the user profile based on search queries performed from a user ID.

20. The tangible, computer-readable medium of claim 16, comprising code configured to direct the processor to:

receive a search term used in a search query performed from the user ID;

perform a new search query using the search term to identify a Website; and

add words from the Website to a bag of words.