Abstract: The present disclosure provides computer-implemented systems and processes for determining and analyzing a user review status for a first item purchased or otherwise selected by a user; automatically and periodically monitoring review statutes for various alternative items, which may include competing, substitute, or replacement items relative to the first item; and generating an item recommendation based at least in part on a determination of which alternative items may be more positively rated than the first item. When a determination is made that an alternative item may be earning more positive feedback than the first item of interest, the system notifies the user that a possibly better item is available. Candidate alternative items may be identified based on the user's browsing history, groups of related items, or other sources. Candidate items may be weighted based on various attributes of the reviews, including average rating, number of ratings, number of reviews, and type.

Abstract: A recommendation system communicates with end user devices over a computer communications network and includes a recommendations engine that communicates with the network from behind a firewall that inhibits unauthorized communications from the network, a data file system that receives disposition update data in response to purchase actions initiated by an end user device and receives ingested user activity data in response to activity at a network storefront initiated by an end user device, and a database system that updates a recommendation model for the end user device in response to receiving the disposition update data and ingested user activity data. The recommendations engine generates a recommendation for the end user device in response to the update of the recommendation model.