公开(公告)号：US20190164196A1

公开(公告)日：2019-05-30

申请号：US15826392

申请日：2017-11-29

Applicant: Facebook, Inc.

Inventor： Sijian Tang ,  Shengbo Guo ,  Jiayi Wen ,  Gregory Matthew Marra ,  James Li ,  Seiji James Yamamoto ,  Grace Louise Jackson ,  Kristin S. Hendrix ,  Benxiong Wu ,  Jiun-Ren Lin ,  Sara Lee Su ,  Panagiotis Papadimitriou ,  Michael Charles Bailey ,  Cristian Orellana ,  Emanuel Alexandre Strauss

IPC: G06Q30/02 ,  G06F3/0482 ,  G06F17/30 ,  G06N5/02

Abstract: 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) deriving features from a landing page of each of the links, (4) using the label and the features of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (5) identifying content items that are candidates for a content feed of a user of the online system, (6) applying the model to a link of each of the content items to determine a ranking of the content items, and (7) displaying the content items in the content feed of the user based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.