For Customer Intelligence Professionals

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	September 15, 2008 Recommendation Technologies Analyzing Recognition, Relevance, and Returns by John Lovett with David Daniels, Patti Freeman Evans

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Executive Summary

Customer-behavior data are rapidly amassing for online retailers in both volume and valuable insights. Site operators are seeking methods to glean knowledge from the data to provide the right products to the right customers at the right time.

Key Questions

• Which different types of on-site recommendation technologies exist?
• Which consideration factors are most important when selecting a recommendation vendor?

This is an excerpt

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