Recommender Systems in Commercial Use

Authors

  • Susan E. Aldrich Patricia Seybold Group

DOI:

https://doi.org/10.1609/aimag.v32i3.2368

Abstract

Commercial recommender systems are deployed by marketing teams to increase revenue and/or personalize user experience. Marketers evaluate recommender systems not on its algorithms but on how well the vendor‘s expertise and interfaces will support achieving business goals. Driven by a business model that pays based on recommendation success, vendors guide clients through continuous optimization of recommendations. While recommender technology is mature, the solutions and market are still young. As a result, solutions are not fully integrated with other business systems and technology platforms. While the market is retail-focused today, interest and vendor offerings are rapidly expanding to other areas. Retail clients will drive social, location, and mobile enhancements.

Author Biography

Susan E. Aldrich, Patricia Seybold Group

Senior Vice President

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Published

2011-06-09

How to Cite

Aldrich, S. E. (2011). Recommender Systems in Commercial Use. AI Magazine, 32(3), 28-34. https://doi.org/10.1609/aimag.v32i3.2368

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Section

Articles