PRODUCT MARKET LIFECYCLE DRIVEN RECOMMENDATIONS

摘要

A method for recommending a product to a user based on a product's market lifecycle, whereby the recommendation is made in response to an indication from the user that a recommendation of an item would be useful is provided. The method may include assembling candidate recommendations from a plurality of recommendation sources, whereby the recommendation sources are configured to generate one or more product recommendations to the user based on a plurality of customer product preferences. The method may also include selecting at least one candidate from a plurality of product life cycle curves, whereby the selection is based on at least one time preference type associated with the user and a product life cycle position associated with one or more selected products.

主权项

1. A method for recommending a product to a user based on a product's market lifecycle, wherein the recommendation is made in response to an indication from the user that a recommendation of an item would be useful, the method comprising:
detecting an online customer query of the product; in response to the detection of the online customer query of the product, accessing and analyzing an online transaction history associated with the user to determine when the user buys a plurality of products in a particular category, wherein the analyzing includes assessing an income associated with the user, assessing an age associated with the user, assessing an occupation associated with the user, and assessing a plurality of purchasing habits associated with the user; analyzing a plurality lifecycle curves in a product category associated with the product; assembling candidate recommendations from a plurality of recommendation sources, wherein the recommendation sources are configured to generate at least one product recommendation to the user based on the analysis of the online transaction history associated with the user, the analysis of the plurality of lifecycle curves in the product category, and a plurality of customer product preferences, wherein the plurality of customer product preferences are determined by the assessed zip code associated with the user, a location associated with the user, the assessed income associated with the user, the assessed age associated with the user, a cumulative purchase history associated with the user, a plurality of prior on-line interaction with an e-store, a plurality of web-store customer information, and a browsing history associated with the user; and selecting one or more candidates on product life cycle curves from the assembled candidate recommendations, wherein the selection is based on at least one time preference type associated with the user and a current product life cycle position associated with one or more candidate products; presenting the selected one or more candidates to the user, wherein the presented selected one or more candidates is offered at a discount.