Mathematica 9 is now available

Wolfram Library Archive

Courseware Demos MathSource Technical Notes
All Collections Articles Books Conference Proceedings
Title Downloads

A Fast and Agile Item-Item Recommender: Design and Implementation

Anton Antonov
Organization: Sezmi Corporation

Wolfram Technology Conference 2011
Conference location

Champaign, Illinois, USA

In this talk the design and implementation of an item-item recommender (IIR) based on linear algebra operations are presented. The presented IIR has great performance and scalability properties. Design and algorithmic approaches are discussed for recommendation proofs, tuning, and diversification. Recommendations of movies, music, and houses will be demonstrated using a common user interface.

The algorithms discussed are from the fields of sparse matrix linear algebra, collaborative filtering, natural language processing, principal component analysis, association rule learning, and outlier detection.

*Mathematica Technology
Downloads Download Wolfram CDF Player

AFastAndAgileIIR.cdf (7.6 MB) - CDF Document
AFastAndAgileIIR.nb (7.6 MB) - Mathematica Notebook