Filtering context-sensitive search results

• US 7,610,279 B2
• Filed: 01/31/2007
• Issued: 10/27/2009
• Est. Priority Date: 01/31/2006
• Status: Active Grant

• Current Assignee: Northwestern University, Taboola, Inc.
• Original Assignee: Northwestern University, Perfect Market, Inc.
• Inventors: Budzik, Jerome Louis, Birnbaum, Lawrence A., Crossen, Andrew Joseph, Sood, Sanjay Chand, Hammond, Kristian J.
• Primary Examiner(s): Vital; Pierre M
• Assistant Examiner(s): Nofal; Christopher P
• Application Number:
  US11/669,837
• Publication Number:
  US 20070185847A1
• Time in Patent Office: 1,000 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/242 Query formulation
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99936 Pattern matching access

Abstract

Methods and apparatus assessing, ranking, organizing, and presenting search results associated with a user'"'"'s current work context are disclosed. The system disclosed assesses, ranks, organizes and presents search results against a user'"'"'s current work context by comparing statistical and heuristic models of the search results to a statistical and heuristic model of the user'"'"'s current work context. In this manner, search results are assessed, ranked, organized, and/or presented with the benefit of attributes of the user'"'"'s current work context that are predictive of relevance, such as words in a user'"'"'s document (e.g., web page or word processing document) that may not have been included in the search query. In addition, search results from multiple search engines are combined into an organization scheme that best reflects the user'"'"'s current task. As a result, lists of search results from different search engines can be more usefully presented to the user.

Claims

1. A computer implemented method of filtering context-sensitive search results, the method comprising:

determining a user context based on a tunable parameter;

determining a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user'"'"'s interaction with one or more software applications;

formulating a first query and a second query based on the first aspect of the user context, the first query and the second query being different than the user context;

submitting the first query to a first search engine;

receiving a first plurality of search results from the first search engine, the first plurality of search results being based on the first query;

submitting the second query to a second different search engine;

receiving a second plurality of search results from the second different search engine, the second plurality of search results being based on the second query;

determining a first plurality of scores associated with the first plurality of search results at least in part by comparing data indicative of the first plurality of search results to data indicative of the first aspect of the user context;

determining a second plurality of scores associated with the second plurality of search results at least in part by comparing data indicative of the second plurality of search results to the data indicative of the first aspect of the user context; and

displaying a subset of the plurality of search results on a client device, wherein at least one of the first plurality of search results is filtered from being displayed to the user based on at least a portion of the first plurality of scores, and wherein at least one of the second plurality of search results is filtered from being displayed to the user based on at least a portion of the second plurality of scores.

2. The method of claim 1, wherein the first query includes the second query.

3. The method of claim 1, wherein the user context is based on at least one of (a) a number of words in the text being accessed by the user, and (b) a number of sentences in the text being accessed by the user.

4. The method of claim 1, wherein the user context is based on at least one of (a) a location of the at least one predetermined word in the text being accessed by the user, (b) a style of the at least one predetermined word in the text being accessed by the user, (c) a presence of at least one specified word in the text being accessed by the user, (d) an absence of the at least one specified word in the text being accessed by the user, (e) metadata attributes of at least a portion of the text being accessed by the user, (f) a field presented by a computer application, (g) an attribute of information being presented in the computer application, (h) an element of the computer application visible to the user, (i) a document genre, (j) a document type, (k) a type associated with the computer application, (l) a method by which the user is accessing the computer application, (m) a role in an organization, (n) a type of the organization, (o) a property of the organization, (p) a stage in a task, (q) a stage in a workflow, (r) a type of task being supported by the computer application, (s) a stage in a task being executed by the computer application, (t) a pervious user behavior, (u) a topical area of interest, (v) a proportion of hyperlinked text to non-hyperlinked text, and (w) an average sentence length in the text being accessed by the user.

5. The method of claim 1, wherein the user context is based on at least five of (a) a location of the at least one predetermined word in the text being accessed by the user, (b) a style of the at least one predetermined word in the text being accessed by the user, (c) a presence of at least one specified word in the text being accessed by the user, (d) an absence of the at least one specified word in the text being accessed by the user, (e) metadata attributes of at least a portion of the text being accessed by the user, (f) a field presented by a computer application, (g) an attribute of information being presented in the computer application, (h) an element of the computer application visible to the user, (i) a document genre, (j) a document type, (k) a type associated with the computer application, (l) a method by which the user is accessing the computer application, (m) a role in an organization, (n) a type of the organization, (o) a property of the organization, (p) a stage in a task, (q) a stage in a workflow, (r) a type of task being supported by the computer application, (s) a stage in a task being executed by the computer application, (t) a pervious user behavior, (u) a topical area of interest, (v) a proportion of hyperlinked text to non-hyperlinked text, and (w) an average sentence length in the text being accessed by the user.

6. The method of claim 1, wherein the user context is based on (a) a style of the at least one predetermined word in the text being accessed by the user and (b) a type associated with a computer application.

7. The method of claim 1, including comparing data indicative of the first plurality of search results to data indicative of the user context to determine a plurality of organization schemes, the plurality of organization schemes grouping at least a portion of the first plurality of search results into at least two genres.

8. The method of claim 7, including generating a display indicative of the plurality of organization schemes.

9. An apparatus for filtering context-sensitive search results, the apparatus comprising:

a processor;

a memory device operatively coupled to the processor;

a user input device operatively coupled to the processor;

a network device operatively coupled to the processor; and

a display device operatively coupled to the processor;

wherein the memory device stores a software program to cause the processor to;

determine a user context based on a tunable parameter;

determine a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user'"'"'s interaction with one or more software applications;

formulate a first query and a second query based on the first aspect of the user context, the first query and the second query being different than the user context;

submit the first query to a first search engine;

receive a first plurality of search results from the first search engine, the first plurality of search results being based on the first query;

submit the second query to a second different search engine;

receive a second plurality of search results from the second different search engine, the second plurality of search results being based on the second query;

determine a first plurality of scores associated with the first plurality of search results at least in part by comparing data indicative of the first plurality of search results to data indicative of the first aspect of the user context;

determine a second plurality of scores associated with the second plurality of search results at least in part by comparing data indicative of the second plurality of search results to the data indicative of the first aspect of the user context; and

display a subset of the plurality of search results on a client device, wherein at least one of the first plurality of search results is filtered from being displayed to the user based on at least a portion of the first plurality of scores, and wherein at least one of the second plurality of search results is filtered from being displayed to the user based on at least a portion of the second plurality of scores.

10. The apparatus of claim 9, wherein the first query includes the second query.

11. The apparatus of claim 9, wherein the user context is based on at least one of (a) a number of words in the text being accessed by the user, and (b) a number of sentences in the text being accessed by the user.

12. The apparatus of claim 9, wherein the user context is based on at least one of (a) a location of the at least one predetermined word in the text being accessed by the user, (b) a style of the at least one predetermined word in the text being accessed by the user, (c) a presence of at least one specified word in the text being accessed by the user, (d) an absence of the at least one specified word in the text being accessed by the user, (e) metadata attributes of at least a portion of the text being accessed by the user, (f) a field presented by a computer application, (g) an attribute of information being presented in the computer application, (h) an element of the computer application visible to the user, (i) a document genre, (j) a document type, (k) a type associated with the computer application, (l) a method by which the user is accessing the computer application, (m) a role in an organization, (n) a type of the organization, (o) a property of the organization, (p) a stage in a task, (q) a stage in a workflow, (r) a type of task being supported by the computer application, (s) a stage in a task being executed by the computer application, (t) a pervious user behavior, (u) a topical area of interest, (v) a proportion of hyperlinked text to non-hyperlinked text, and (w) an average sentence length in the text being accessed by the user.

13. The apparatus of claim 9, wherein the user context is based on at least five of (a) a location of the at least one predetermined word in the text being accessed by the user, (b) a style of the at least one predetermined word in the text being accessed by the user, (c) a presence of at least one specified word in the text being accessed by the user, (d) an absence of the at least one specified word in the text being accessed by the user, (e) metadata attributes of at least a portion of the text being accessed by the user, (f) a field presented by a computer application, (g) an attribute of information being presented in the computer application, (h) an element of the computer application visible to the user, (i) a document genre, (j) a document type, (k) a type associated with the computer application, (l) a method by which the user is accessing the computer application, (m) a role in an organization, (n) a type of the organization, (o) a property of the organization, (p) a stage in a task, (q) a stage in a workflow, (r) a type of task being supported by the computer application, (s) a stage in a task being executed by the computer application, (t) a pervious user behavior, (u) a topical area of interest, (v) a proportion of hyperlinked text to non-hyperlinked text, and (w) an average sentence length in the text being accessed by the user.

14. The apparatus of claim 9, wherein the user context is based on (a) a style of the at least one predetermined word in the text being accessed by the user and (b) a type associated with a computer application.

15. The apparatus of claim 9, including comparing data indicative of the first plurality of search results to data indicative of the user context to determine a plurality of organization schemes, the plurality of organization schemes grouping at least a portion of the first plurality of search results into at least two genres.

16. The apparatus of claim 15, including generating a display indicative of the plurality of organization schemes.

17. A computer readable storage device storing a software program to cause a computing device to:

determine a user context based on a tunable parameter;

determine a first aspect of the user context and a second aspect of the user context, wherein the first aspect of the user context includes data indicative of text being accessed by a user and the second aspect of the user context includes data indicative of at least one user task from a plurality of user tasks, wherein the at least one user task is determined based upon the user context of the user'"'"'s interaction with one or more software applications;

formulate a first query and a second query based on the first aspect of the user context, the first query and the second query being different than the user context;

submit the first query to a first search engine;

receive a first plurality of search results from the first search engine, the first plurality of search results being based on the first query;

submit the second query to a second different search engine;

receive a second plurality of search results from the second different search engine, the second plurality of search results being based on the second query;

determine a first plurality of scores associated with the first plurality of search results at least in part by comparing data indicative of the first plurality of search results to data indicative of the first aspect of the user context;

determine a second plurality of scores associated with the second plurality of search results at least in part by comparing data indicative of the second plurality of search results to the data indicative of the first aspect of the user context; and

display a subset of the plurality of search results on a client device, wherein at least one of the first plurality of search results is filtered from being displayed to the user based on at least a portion of the first plurality of scores, and wherein at least one of the second plurality of search results is filtered from being displayed to the user based on at least a portion of the second plurality of scores.

18. The computer readable storage device of claim 17, wherein the first query includes the second query.

19. The computer readable storage device of claim 17, wherein the user context is based on at least one of (a) a number of words in the text being accessed by the user, and (b) a number of sentences in the text being accessed by the user.

20. The computer readable storage device of claim 17, wherein the user context is based on at least one of (a) a location of the at least one predetermined word in the text being accessed by the user, (b) a style of the at least one predetermined word in the text being accessed by the user, (c) a presence of at least one specified word in the text being accessed by the user, (d) an absence of the at least one specified word in the text being accessed by the user, (e) metadata attributes of at least a portion of the text being accessed by the user, (f) a field presented by a computer application, (g) an attribute of information being presented in the computer application, (h) an element of the computer application visible to the user, (i) a document genre, (j) a document type, (k) a type associated with the computer application, (l) a method by which the user is accessing the computer application, (m) a role in an organization, (n) a type of the organization, (o) a property of the organization, (p) a stage in a task, (q) a stage in a workflow, (r) a type of task being supported by the computer application, (s) a stage in a task being executed by the computer application, (t) a pervious user behavior, (u) a topical area of interest, (v) a proportion of hyperlinked text to non-hyperlinked text, and (w) an average sentence length in the text being accessed by the user.

21. The computer readable storage device of claim 17, wherein the user context is based on at least five of (a) a location of the at least one predetermined word in the text being accessed by the user, (b) a style of the at least one predetermined word in the text being accessed by the user, (c) a presence of at least one specified word in the text being accessed by the user, (d) an absence of the at least one specified word in the text being accessed by the user, (e) metadata attributes of at least a portion of the text being accessed by the user, (f) a field presented by a computer application, (g) an attribute of information being presented in the computer application, (h) an element of the computer application visible to the user, (i) a document genre, (j) a document type, (k) a type associated with the computer application, (l) a method by which the user is accessing the computer application, (m) a role in an organization, (n) a type of the organization, (o) a property of the organization, (p) a stage in a task, (q) a stage in a workflow, (r) a type of task being supported by the computer application, (s) a stage in a task being executed by the computer application, (t) a pervious user behavior, (u) a topical area of interest, (v) a proportion of hyperlinked text to non-hyperlinked text, and (w) an average sentence length in the text being accessed by the user.

22. The computer readable storage device of claim 17, wherein the user context is based on (a) a style of the at least one predetermined word in the text being accessed by the user and (b) a type associated with a computer application.

23. The computer readable storage device of claim 17, including comparing data indicative of the first plurality of search results to data indicative of the user context to determine a plurality of organization schemes, the plurality of organization schemes grouping at least a portion of the first plurality of search results into at least two genres.

24. The computer readable storage device of claim 23, including generating a display indicative of the plurality of organization schemes.