Oath Inc.

Exaclibur Ip, LLC

Chunming Wang

Jian J Xu

Liang Wang

Hao Zheng

Yu Zou

Ming Chang

Method, system, and programs for providing content recommendation are disclosed. A first set of candidate content items may be generated based on a user profile, and a second set of candidate items may be generated based on the likelihood that the user will click a corresponding candidate content item in the second set. The candidate content items in the first and second sets may be ranked together using a learning model and presented to the user as content recommendations based on their rankings. The likelihood that the user will click a given candidate content item in the second set may be estimated based on similarities between the given content item and content items related to the given content item. Such a similarity may be computed based on activities performed by users who have viewed both the given content item and a related content item.

Method and system for enhanced content recommendation

A demand-side platform (DSP) may bid on advertising opportunities (e.g., provided by a supply-side platform (SSP)) on behalf of an advertiser wishing to place an advertisement, such as part of an advertisement campaign. A target advertisement may be selected based upon various criteria, and a bid for the target advertisement to run during the advertising opportunity is made in a manner that satisfies one or more goals of the advertisement campaign while also being beneficial to the DSP. For example, the target advertisement may be selected from a reduced problem space where merely advertisements corresponding to a target advertising opportunity class are evaluated, where the target opportunity class corresponds to an opportunity class of the advertising opportunity. Win rate modeling data, inventory cost modeling data, user response modeling data, and/or other information may be used to select the target advertisement.

Advertisement opportunity bidding

Growing community of inventors

Beijing, China

Chunming Wang