Pinterest, Inc.

Grace Chin

Andrey Dmitriyevich Gusev

Jun Liu

Vincent Bannister

Wenke Zhang

Peter John Daoud

Jacob Franklin Hanger

Qinglong Zeng

Hsiao-Ching Chang

Zhuoyuan Li

Systems and method for determining a topic cohesion measurement between a content item and a hyperlinked landing page are presented. In one embodiment, a plurality of content item signals is generated for the content item and a corresponding plurality of signals are generated for the hyperlinked landing page. An analysis of the corresponding signals is conducted to determine a measurement of topic cohesion, a topic cohesion score, between the content item and the hyperlinked landing page. A cohesion predictor model is trained to generate the predictive topic cohesion score between an input content item and a hyperlinked landing page. Upon a determination that the topic cohesion score is less than a predetermined threshold, remedial actions are taken regarding the hyperlink of the content item. Alternatively, positive actions may be carried out, including promoting the content item to others, associating advertisements with the content item, and the like.

Determining topic cohesion between posted and linked content

Growing community of inventors

San Francisco, CA, United States of America

Grace Chin