Patent Applications by Pinterest, Inc. on June 5th, 2025

Pinterest, Inc.: 2 patent applications

Pinterest, Inc. has applied for patents in the areas of G06F16/2457 (with adaptation to user needs, 1), H04L51/216 (Handling conversation history, e.g. grouping of messages in sessions or threads, 1)

With keywords such as: user, images, preference, from, hierarchy, determined, response, tagged, using, machine in patent application abstracts.

Top Inventors:

Navin Agarwal of San Mateo CA US (1 patents)
Judy Yi-Chun Hsieh of San Francisco CA US (1 patents)
Debbie Ayano Limongan of San Mateo CA US (1 patents)
Lianghao Chen of San Jose CA US (1 patents)
Amit Aggarwal of Los Altos CA US (1 patents)

Patent Applications by Pinterest, Inc.

20250181587. DYNAMIC FILTER RECOMMENDATIONS (Pinterest, .)

Abstract: a user preference hierarchy is determined from user response to images. images may be tagged using machine learning models trained to determine values for images. products are clustered according to product vectors. images of products within a cluster are clustered according to composition and groups of images are selected from image clusters for soliciting feedback regarding user preference for products of a cluster. feedback is used to train a user preference model to estimate affinity for a product vector. a user may provide feedback regarding a price point and products are weighted according to a distribution about the price point. the distribution may be asymmetrical according to direction of movement of the price point. filters may be dynamically defined and presented to a user based on popularity and frequency of occurrence of attribute-value pairs of search results and based on feedback regarding the search results.

20250184301. DETERMINING TOPIC COHESION BETWEEN POSTED LINKED CONTENT (Pinterest, .)

Abstract: 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.