Recommender system utilizing collaborative filtering...

Details Recommender system utilizing collaborative filtering... Recommender system utilizing collaborative filtering...

2008-07-30

2011-10-11

Coby, Frantz (Department: 2156)

Data processing: database and file management or data structures

Database and file access

Preparing data for information retrieval

C707S608000, C707S913000, C707S915000

Reexamination Certificate

active

08037080

ABSTRACT:
Example collaborative filtering techniques provide improved recommendation prediction accuracy by capitalizing on the advantages of both neighborhood and latent factor approaches. One example collaborative filtering technique is based on an optimization framework that allows smooth integration of a neighborhood model with latent factor models, and which provides for the inclusion of implicit user feedback. A disclosed example Singular Value Decomposition (SVD)-based latent factor model facilitates the explanation or disclosure of the reasoning behind recommendations. Another example collaborative filtering model integrates neighborhood modeling and SVD-based latent factor modeling into a single modeling framework. These collaborative filtering techniques can be advantageously deployed in, for example, a multimedia content distribution system of a networked service provider.

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