Recommendation systems and methods using interest correlation

Details Recommendation systems and methods using interest correlation Recommendation systems and methods using interest correlation

2007-05-25

2010-06-08

Fleurantin, Jean B (Department: 2162)

Data processing: database and file management or data structures

Database and file access

Record, file, and data search and comparisons

C707S776000

Reexamination Certificate

active

07734641

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.

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