Customer keyword-based item recommendations

摘要

Disclosed are various embodiments for generating recommendations based at least in part on keywords associated with users. In some embodiments, among others, a system includes at least one computing device and a recommendation generator executable in the at least one computing device. The recommendation generator comprises logic that generates a plurality of pools of keywords based at least in part on a plurality of behavioral histories. Each pool corresponds to a behavioral history of a user across a plurality of domains. The recommendation generator also comprises logic that clusters at least a number of the keywords in a cluster across at least two pools including the same keyword and logic that recommends an item based at least in part on the cluster of keywords.

主权项

1. A non-transitory computer-readable medium embodying a program executable in a computing device, the program comprising:
code that gathers content based at least in part on view data associated with a user on a first domain; code that identifies a plurality of keywords based at least in part on the content; code that associates the keywords and the user to form keyword-user associations; code that assigns a score to each of the keywords corresponding to the keyword-user associations; code that ranks the keywords based at least in part on the corresponding score; code that selects a number of the keywords based at least in part on a ranking; code that retrieves a plurality of other keyword-user associations based at least in part on the selected keywords, the other keyword-user associations corresponding to other users and a second domain; and code that recommends an item available from the first domain based at least in part on the other keyword-user associations.