Probabilistic recommendation of an item

US9760802B2 · kind B2 · utility

Assignee

• eBay Inc. · US

Inventors

• Ye Chen · Sunnyvale, US
• John Canny · Berkeley, US

Key dates

• Filing date: Jan 27, 2010
• Grant date: Sep 12, 2017
• Expiry date: May 22, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0282
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A clustering and recommendation machine determines that an item is included in a cluster of items. The machine accesses item data descriptive of the item. The machine accesses a vector that represents the cluster and calculates the likelihood that the item is included in the cluster, based on the item variable and the probability parameter. The machine determines that the item is included in the cluster, based on the likelihood. The machine also recommends an item to a potential buyer. The machine accesses behavior data that represents a first event type pertinent to a first cluster of items. The machine calculates a probability that a second event type pertaining to a second cluster of items will co-occur with the first event type. The machine identifies an item from the second cluster to be recommended and presents a recommendation of the item to the potential buyer.