PROBABILISTIC RECOMMENDATION OF AN ITEM

Number of patents in Portfolio can not be more than 2000

United States of America Patent

SERIAL NO

15680715

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

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.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
EBAY INC2145 HAMILTON AVENUE SAN JOSE CA 95125

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Canny, John Berkeley, US 10 347
Chen, Ye Sunnyvale, US 167 1785

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation