Invention Grant
- Patent Title: Real-time content recommendation system
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Application No.: US14599026Application Date: 2015-01-16
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Publication No.: US09858308B2Publication Date: 2018-01-02
- Inventor: Xiaohong Gong , Wei Zhang , Nima Asgharbeygi
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Foley & Lardner LLP
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30 ; H04L29/08 ; G06Q30/06 ; H04N21/466

Abstract:
System and methods of this disclosure are directed to recommending content in real-time or near real-time. The system comprises a number of pipelines updated a different frequencies that process temporally different sets of web property visit data. Within each pipeline, the system can employ different number of algorithms to process visit data to generate content recommendations. One algorithm is a content filter that filters from the visit data those determined to be unsuitable as recommendations. Another is a content analyzer that analyzes the content of each URL in the visit data by topic category and attribute. Another is an item-to-item collaborative filter that determines a correlation score for each URL based on those in the visit data in a single session Another is a device-to-item matrix factorization that determines an affinity score for each URL based on visit data, context information, and topic category.
Public/Granted literature
- US20160210321A1 REAL-TIME CONTENT RECOMMENDATION SYSTEM Public/Granted day:2016-07-21
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