METHOD, MEDIUM AND SYSTEM FOR DETERMINING WHETHER A TARGET ITEM IS RELATED TO A CANDIDATE AFFINITY ITEM
5 Assignments
0 Petitions
Accused Products
Abstract
Recommendations for purchase are made based on customer behavior across multiple sessions. Correlations used for recommendations include: buy-to-buy (cross-session), view-to-view (same-session), view-to-buy (same-session), and abandon-to-buy (same-session) actions. A preview display allows a merchant to adjust recommendation algorithm weightings to achieve a desired result. A closed-loop system is provided with real-time feedback. The recommendations can be based on various segments of other users, including users of the same search engine.
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Citations
37 Claims
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1-17. -17. (canceled)
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18. A method comprising:
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collecting data corresponding to monitored actions of a user of a web site, the monitored actions collected over a plurality of browsing sessions; identifying, with a server computer, at least one affinity product related to a target product, the identifying based on the monitored actions and a weighted formula; displaying, with the server computer, a preview of the at least one affinity product; modifying at least one weight of the weighted formula; and displaying, with the server computer, an updated preview showing any change in the at least one affinity product due to the modifying. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25)
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26. A method comprising:
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collecting data corresponding to monitored actions of a user of a web site, the monitored actions collected over a plurality of browsing sessions; providing a formula for identifying affinity products based on said monitored actions; tracking said monitored actions for an identified segment of users; and selecting, with a server computer, at least one affinity product using said formula and said monitored actions of said segment of users. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33)
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34. A method comprising:
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collecting data corresponding to monitored keywords; providing a formula for identifying affinity products based on said monitored keywords; tracking said monitored keywords and affinity products for an identified segment of users; and selecting, with a server computer, at least one affinity product using said formula and said monitored keywords of said segment of users. - View Dependent Claims (35, 36, 37)
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Specification