Wei Guan

Title: Innovations by Wei Guan in Recommendation Systems

Introduction

Wei Guan is an accomplished inventor based in Atlanta, GA, known for his significant contributions to the field of recommendation systems. With a total of three patents to his name, he has developed innovative methods that enhance the way items are recommended to users based on their preferences and behaviors.

Latest Patents

Wei Guan's latest patents focus on collaborative-filtering contextual models that utilize both explicit and implicit ratings for recommending items. One of his notable patents describes a recommendation system that creates a contextual model using explicit ratings, which include various rating types related to different item attributes. Implicit ratings, derived from user events, may encompass recency, intensity, or frequency ratings. This contextual model can be optimized for specific objectives, such as improving click-through rates or conversion rates. Additionally, his patents explore the use of item information to produce a content model, where metadata about an item is encoded into a document representing that item. This innovative approach allows for the recommendation of one or more items to current users, enhancing the overall user experience.

Career Highlights

Wei Guan is currently employed at Yahoo! Inc., where he continues to push the boundaries of technology in recommendation systems. His work has been instrumental in developing advanced algorithms that leverage user data to provide personalized recommendations.

Collaborations

Throughout his career, Wei has collaborated with talented individuals such as Christina Yip Chung and Long