Recommendation Systems and Methods Using Interest Correlation

• US 20150324889A1
• Filed: 04/17/2015
• Published: 11/12/2015
• Est. Priority Date: 05/25/2007
• Status: Active Grant

• Current Assignee: PRJ Holding Company LLC
• Original Assignee: Piksel Incorporated
• Inventors: Veidlinger, Daniel Marc, Mozersky, Myer Joshua, Kanigsberg, Issar Amit
• Granted Patent: US 9,576,313 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A search technology generates recommendations with minimal user data and participation, and provides better interpretation of user data, such as popularity, thus obtaining breadth and quality in recommendations. It is sensitive to the semantic content of natural language terms and lets users briefly describe the intended recipient (i.e., interests, eccentricities, previously successful gifts). Based on that input, the recommendation software system and method determines the meaning of the entered terms and creatively discover connections to gift recommendations from the vast array of possibilities. The user may then make a selection from these recommendations. The search/recommendation engine allows the user to find gifts through connections that are not limited to previously available information on the Internet. Thus, interests can be connected to buying behavior by relating terms to respective items.

Claims

1. A computer implemented method of recommending products and services comprising the steps of:

processing user profiles to extract keywords;

identifying which keywords commonly occur in the user profiles; and

expanding a search query with additional search terms related to the search query,

where the additional search terms are determined using one or more of the identified co-occurring keywords.