Patent · US Active

Recommendations based on topic clusters

US8589434B2 · kind B2 · utility

7Cited by

19References

16Claims

0Family size

Assignee

Google LLC · US

Inventors

Benjamin Liebald · San Francisco, US
Palash Nandy · San Francisco, US
Dasarathi Sampath · San Bruno, US
Junning Liu · Pleasant Hill, US
Ye Niu · San Bruno, US
Christina Ilvento · San Francisco, US
Yu-To Chen · Pleasanton, US

Key dates

Filing date	Dec 1, 2011
Grant date	Nov 19, 2013
Priority date	—
Expiry date	Dec 1, 2031

Classification

Technology area (CPC G)Physics
CPC primaryG06F16/735
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A system and method for developing a user's profile based on the user's interaction with content items. A module on the client rendering the content items or the service including the content items tracks the user's interactions with the content items and transmits the tracked data to a user analysis module. The user analysis module determines the topics associated with the interacted upon content items. The user analysis module then selects the topics for the user's profiles based on the received tracked data and the associated topics. The selected topics are mapped to topic clusters and the topic clusters are stored in association with the user profile. Recommendations for a user are made based on the topic clusters associated with the user'profile.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.