Changing ranking algorithms based on customer settings

• US 7,996,392 B2
• Filed: 06/27/2007
• Issued: 08/09/2011
• Est. Priority Date: 06/27/2007
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Liao, Ciya, Krishnaprasad, Muralidhar, Bhavsar, Meeten, Chang, Thomas
• Primary Examiner(s): PANNALA, SATHYANARAYA R
• Application Number:
  US11/769,245
• Publication Number:
  US 20090006356A1
• Time in Patent Office: 1,504 Days
• Field of Search: 707/999.005, 707/999.003, 707/723
• US Class Current: 707/723
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Search term ranking algorithms can be generated and updated based on customer settings, such as where a ranking algorithm is modeled as a combination function of different ranking factors. An end user of a search system provides personalized preferences for weighted attributes, generally or for a single instance of the query. The user also can indicate the relative importance of one or more ranking factors by specifying different weights to the factors. Ranking factors can specify document attributes, such as document title, document body, document page rank, etc. Based on the attribute weights and the received user query, a ranking algorithm function will produce the relevant value for each document corresponding to the user preferences and personalization configurations.

Claims

1. A computer-implemented method for ranking search results using user preferences, comprising:

obtaining a set of custom ranking factors which specify document attributes to be applied to search results for a query within an heterogeneous enterprise environment;

for each of the custom ranking factors, defining a type of the custom ranking factor, wherein the type of the ranking factor comprises a query factor or a static factor;

receiving a user-supplied weight from a user for each of the set of custom ranking factors which specify document attributes;

generating, using a processor operatively coupled to a memory, a ranking algorithm that is a combination function of the ranking factors which specify document attributes based on the user-supplied weights for the ranking factors and the type of the custom ranking factors;

applying the ranking algorithm to search results for the query; and

displaying the search results ranked according to the ranking algorithm.

2. The method of claim 1, further comprising:

using a first classification for each of the ranking factors based on whether the ranking factors are default factors.

3. The method of claim 2, further comprising:

using a second classification for each of the ranking factors based on whether the ranking factors depend upon the user query.

4. The method of claim 3, wherein ranking factors that depend on the query are classified as query factors.

5. The method of claim 3, wherein ranking factors that are independent of the query are classified as static factors.

6. The method of claim 1, wherein at least one of the obtained ranking factors is active in the ranking algorithm if terms in the query match a value of the at least one ranking factor.

7. The method of claim 1, wherein the generating the ranking algorithm is performed when the query is received from the user.

8. The method of claim 1 further comprising:

applying the first ranking factor to the search results based on the type of ranking factor and based on whether an attribute for a document matches the query.

9. A computer program product embedded in a computer readable medium for ranking search results using user preferences, the computer program product comprising:

program code for obtaining a set of custom ranking factors which specify document attributes to be applied to search results for a query within an heterogeneous enterprise environment;

program code for each of the custom ranking factors, defining a type of the custom ranking factor, wherein the type of the ranking factor comprises a query factor or a static factor;

program code for receiving a user-supplied weight from a user for each of the set of custom ranking factors which specify document attributes;

program code for generating, using a processor operatively coupled to a memory, a ranking algorithm that is a combination function of the ranking factors which specify document attributes based on the user-supplied weights for the ranking factors and the type of the custom ranking factors;

program code for applying the ranking algorithm to search results for the query; and

program code for displaying the search results ranked according to the ranking algorithm.

10. The product of claim 9, further comprising:

program code for using a first classification for each of the ranking factors based on whether the ranking factors are default factors.

11. The product of claim 10, further comprising:

program code for using a second classification for each of the ranking factors based on whether the ranking factors depend upon the user query.

12. The product of claim 11, wherein ranking factors that depend on the query are classified as query factors.

13. The product of claim 11, wherein ranking factors that are independent of the query are classified as static factors.

14. A computer system for ranking search results using user preferences, the computer system including a processor for executing instructions and a data storage medium for storing the instructions, the instructions when executed by the processor causing the processor to:

obtain a set of custom ranking factors which specify document attributes to be applied to search results for a query within an heterogeneous enterprise environment;

for each of the custom ranking factors, define a type of the custom ranking factor, wherein the type of the ranking factor comprises a query factor or a static factor;

receive a user-supplied weight from a user for each of the set of custom ranking factors which specify document attributes;

generate, using a processor operatively coupled to a memory, a ranking algorithm that is a combination function of the ranking factors which specify document attributes based on the user-supplied weights for the ranking factors and the type of the custom ranking factors;

apply the ranking algorithm to search results for the query; and

display the search results ranked according to the ranking algorithm.

15. The system of claim 14, wherein the instructions when executed further cause the processor to:

use a first classification for each of the ranking factors based on whether the ranking factors are default factors.

16. The system of claim 15, wherein the instructions when executed further cause the processor to:

use a second classification for each of the ranking factors based on whether the ranking factors depend upon the user query.

17. The system of claim 16, wherein ranking factors that depend on the query are classified as query factors.

18. The system of claim 16, wherein ranking factors are independent of the query are classified as static factors.