Amazon Technologies, Inc.

Valentin Radu Munteanu

Russell Dicker

Scott Allen Mongrain

Waqas Syed Ahmed

Florin V Manolache

Aaron D Wilson

Val Dan Dar Ion I Rosca

Corneliu Gabriel Alexandru Rudeanu

Llewellyn James Mason

Daniel Bruce Lloyd

Himanshu Khurana

Arne C Knudson

In Jae Lee

Campaign messages may be prioritized for a given potential recipient by generating one or more learning structures associated with the campaign message. The learning structure(s) is then evaluated relative to the potential recipient to determine potential effectiveness of the campaign messages for the potential recipient. One such learning structure is a decision tree comprising a hierarchy of attributes associated with past recipients of the campaign message. Attributes associated with the potential recipient are then applied to the decision tree to obtain a metric of potential value of the campaign message to the potential recipient.

Personalized campaign planner

Tag suggestions enable a hosting entity such as a website to determine one or more tags to suggest to a user for association with a particular item within an electronic catalog. After this determination, the hosting entity may suggest the determined tags to the user. To determine these tags, the hosting entity may employ techniques to determine items related to the particular item. The hosting entity then suggests some or all of the tags associated with the related items. Additionally or alternatively, the hosting entity may determine certain metadata associated with the particular item. The entity then may suggest this metadata, or some related phrase or tag, to the user for association with the particular item. However the tag suggestions are determined, the hosting entity may rank the tag suggestions to determine which tags to present to the user or to determine an order in which to present the tags.

Related-item tag suggestions

Tag suggestions based on item metadata

Growing community of inventors

Iasi, Romania

Valentin Radu Munteanu