International Business Machines Corporation
Matching bias and relevancy in reviews with artificial intelligence

Abstract:

Matching bias and relevancy in online reviews is provided. A review from an internet media source is gathered and parsed to identify a number of entities with the review. A number of internet media posts are parsed to identify entities within the posts. Entities in the review are mapped to entities in the internet media posts. A bias and context are determined for the review. A bias and context are also determined for a user reading the review. A relevancy score of the review is determined by comparing the bias and context of the review to the bias and context of the user, and the review is displayed among a number of reviews according to its relevancy score for the user.