Method for recommending a commodity

Abstract

A user inputs a request (1) for a commodity recommendation. A computer system accesses (2) a plurality of commodity reviews. The computer system extracts feature indicators (3) and sentiment indicators (4) from each commodity review. The computer system determines (5) the popularity of each feature indicator and the similarity between a first commodity (Q) and a second commodity (C). The computer system evaluates the sentiment indicators and evaluates the similarity indicator to form (7) the commodity recommendation. After the commodity recommendation has been formed in step (7), the computer system delivers (8) the commodity recommendation for the second commodity (C) to the user using a website interface.

Dependencies are inferred from the claim text.