Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks

no code implementations • 7 Dec 2023 • Zijie Huang, Baolin Li, Hafez Asgharzadeh, Anne Cocos, Lingyi Liu, Evan Cox, Colby Wise, Sudarshan Lamkhede

Given a set of candidate entities (e. g. movie titles), the ability to identify similar entities is a core capability of many recommender systems.

Collaborative Filtering Recommendation Systems +1

Augmenting Netflix Search with In-Session Adapted Recommendations

no code implementations • 5 Jun 2022 • Moumita Bhattacharya, Sudarshan Lamkhede

We motivate the need for recommendation systems that can cater to the members in-the-moment intent by leveraging their interactions from the current session.

Recommendation Systems

Recommendations and Results Organization in Netflix Search

no code implementations • 28 May 2021 • Sudarshan Lamkhede, Christoph Kofler

Personalized recommendations on the Netflix Homepage are based on a user's viewing habits and the behavior of similar users.

Challenges in Search on Streaming Services: Netflix Case Study

no code implementations • 11 Mar 2019 • Sudarshan Lamkhede, Sudeep Das

We discuss salient challenges of building a search experience for a streaming media service such as Netflix.