Facebook, Inc.

Oath Inc.

Jiayi Wen

Shu Zhang

Herve Marcellini

Yi Mao

Shengbo Guo

Jiun-Ren Lin

Haiyan Luo

James Li

Datong Chen

Zhen Xia

Shiyong Cheng

Xiaojiang Cheng

Sijian Tang

Chenzhang He

A signature matrix is used to test each online event for inclusion of a user in a pre-generated lookalike audience. Locality Sensitive Hashing is used to compile the signature matrix to dramatically reduce memory storage requirements and processing time for each received online event. A technique of producing incremental signature matrices between generation of the full signature matrix helps to enable near-real time performance in processing each received event to see if a user associated with that event should be added to one of the lookalike audiences pre-generated by advertiser.

Methods and systems for near real-time lookalike audience expansion in ads targeting

The disclosed computer-implemented method may include (1) sampling links from an online system, (2) receiving, from a human labeler for each of the links, a label indicating whether the human labeler considers a landing page of the link to be a low-quality webpage, (3) generating a link graph from a crawl of the links, (4) using the link graph to derive a graph-based feature for each of the links, (5) using the label and the graph-based feature of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (6) identifying content items that are candidates for a content feed of a user, (7) applying the model to the content items to determine a ranking, and (8) displaying the content items in the content feed based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for using link graphs to demote links to low-quality webpages

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Sunnyvale, CA, United States of America

Jiayi Wen