Ebay, Incorporated

Michael Gilbert

Elizabeth F Churchill

Kent Andrew Edmonds

Michael R Parker

Atish Das Sarma

Bryan Kent Ressler

Systems and methods are presented for generating recommendations using multi-level social network analysis of user behavior. In some embodiments, the system receives a set of user interactions, from a plurality of users, performed on a set of data objects; generates a set of associations between the set of data objects; and identifies a set of data object clusters indicative of the set of associations. The system generates an organization of the set of data objects based on the set of associations and the set of data object clusters and causes presentation of a plurality of data objects of the set of data objects on a user interface of a user device based on the organization.

Methods and systems for social network based content recommendations

Systems and methods are presented for matching a buyer and a seller on a market place system and generating calibrated user profiles. In one such system a plurality of subjective estimations of value is received. The subjective estimations of value are a measure between a predetermined minimum value and a predetermined maximum value. A user profile is generated. A plurality of user actions corresponding to the plurality of subjective estimations of value is received. The user profile is calibrated based on the plurality of user actions.

Machine generated recommendation and notification models

Systems and methods are presented for evaluating and incorporating a plurality of input streams into a single input stream. In some embodiments, the system generates a first set of recommendations provided by a plurality of input streams and receives one or more selections of recommendations from the first set of input streams. The system determines a session intent based on the one or more selections and selects a set of input streams, from the plurality of input streams, corresponding to the one or more selection and the session intent. The system generates a second set of recommendations using the set of input streams and the session intent and causes presentation of the second set of recommendations on a user interface of a user device.

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Seattle, WA, United States of America

Michael Gilbert