METHODS, SYSTEMS, AND APPARATUS FOR GENERATING SEARCH RESULTS

• US 20150026155A1
• Filed: 07/19/2013
• Published: 01/22/2015
• Est. Priority Date: 07/19/2013
• Status: Active Grant

• Current Assignee: PayPal, Inc. (PayPal Holdings, Inc.)
• Original Assignee: eBay Inc.
• Inventors: Martin, Todd
• Granted Patent: US 9,298,785 B2
• Time in Patent Office: Days
• US Class Current: 707/722
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: H04L 67/306 User profiles

Abstract

Methods, systems, and apparatus to constrain a search are described. A selection of one or more items of a search result set by a user may be obtained. One or more attributes of the one or more selected items may be evaluated. One or more filters are identified based on the evaluated attributes.

Claims

1. A system for generating a search result set, the system comprising:

a search parameter module configured to obtain one or more user item selections of a search result set;

a result analysis module configured to perform an analysis of the search result set based at least in part on one or more attributes of the one or more user item selections of the search result items; and

a search parameter module configured to identify, based on the analysis of the search result set, one or more additional search parameters.

2. The system of claim 1, wherein a candidate filter is identified based on the one or more user item selections having an attribute that matches an attribute corresponding to the candidate filter.

3. The system of claim 1, wherein the identifying comprises identifying an exclusionary filter that excludes items from a search result set, the identification based on the one or more user item selections having an attribute that is an alternative to an attribute corresponding to the exclusionary filter.

4. The system of claim 1, wherein the analysis analyzes one or more attributes of one or more items of the search result set that are not selected by the user.

5. The system of claim 1, wherein the identified one or more attribute search parameters are used to constrain a search.

6. The system of claim 1, wherein the identification is based on a profile of the user.

7. The system of claim 1, the search parameter module further configured to provide a recommended list of one or more attribute search parameters.

8. The system of claim 1, the search parameter module further configured to automatically select one or more filters.

9. The system of claim 8, wherein the automatic selection is based on an auto-filter enablement mechanism.

10. The system of claim 8, wherein the automatic selection is based on one or more of a size of the search result set, a relevance of one or more items in the search result set, a propensity of a user to execute a transaction, a user profile, and a user enablement of an auto-filter mechanism.

11. The system of claim 1, wherein the identification is based on one or more of a listing category, an item attribute, a category characteristic, a title, a character description, an item review, a listing format, and a condition.

12. The system of claim 1, wherein the identification is based on a numerical representation of each of one or more of the user item selections being within a predefined variance.

13. The system of claim 1, wherein filters that are automatically selected are identified by a mark indicating a type of selection.

14. A method for generating a search result set, the method comprising:

obtaining one or more user item selections of a search result set;

performing an analysis of the search result set based at least in part on one or more attributes of the one or more user item selections of the search result items; and

identifying, based on the analysis of the search result set, one or more additional search parameters.

15. The method of claim 14, wherein a candidate filter is identified based on the one or more user item selections having an attribute that matches an attribute corresponding to the candidate filter.

16. The method of claim 14, wherein the identifying comprises identifying an exclusionary filter that excludes items from a search result set, the identification based on the one or more user item selections having an attribute that is an alternative to an attribute corresponding to the exclusionary filter.

17. The method of claim 14, wherein the analysis analyzes one or more attributes of one or more items of the search result set that are not selected by the user.

18. The method of claim 14, wherein the identified one or more attribute search parameters are used to constrain a search.

19. The method of claim 14, wherein the identification is based on a profile of the user.

20. The method of claim 14, the method further comprising providing a recommended list of one or more attribute search parameters.

21. The method of claim 14, the method further comprising automatically selecting one or more filters.

22. The method of claim 21, wherein the automatic selection is based on an auto-filter enablement mechanism.

23. The method of claim 21, wherein the automatic selection is based on one or more of a size of the search result set, a relevance of one or more items in the search result set, a propensity of a user to execute a transaction, a user profile, and a user enablement of an auto-filter mechanism.

24. The method of claim 14, wherein the identification is based on one or more of a listing category, an item attribute, a category characteristic, a title, a character description, an item review, a listing format, and a condition.

25. The method of claim 14, wherein the identification is based on a numerical representation of each of one or more of the user item selections being within a predefined variance.

26. The method of claim 14, wherein filters that are automatically selected are identified by a mark indicating a type of selection.

27. A non-transitory computer-readable medium embodying instructions that, when executed by a processor, perform operations comprising:

obtaining one or more user item selections of a search result set;

performing an analysis of the search result set based at least in part on one or more attributes of the one or more user item selections of the search result items; and

identifying, based on the analysis of the search result set, one or more additional search parameters.