Papers by Sergey Volokhin

1 papers
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions (2021.naacl-main)

Copied to clipboard

Challenge: Existing methods for conversational recommendation include collaborative filtering, content-based filtering and user reviews.
Approach: They propose to map a conversational user to most similar external reviewers, whose preferences are known, and adapt collaborative filtering techniques to estimate the current user’s preferences for new movies.
Outcome: The proposed method can improve the accuracy of predicting user ratings for new movies by exploiting conversation content and external data.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations