Self-improving, automated, intelligent product finder and guide

Abstract

A self-improving, automated, highly intelligent product finder/guide can be used by a user to access a web site running the computer recommendation engine to look for product in segment X (e.g., pool floats). The user takes a quiz, and the quiz recommends a product. The user is then taken to the seller's site to buy product. If user buys, the seller may pay a commission for having the buyer directed to the seller's site. The user can give feedback and suggestions, including suggesting new questions. Some goals of the system include short-term goals to increase the probability that user buys a product, and long-term goals to have the system of the present invention be the trusted source for people to find out which product is best for them. Reinforcement learning (RL) methods can be used to optimize these measurable quantities.

Dependencies are inferred from the claim text.