Search Results for author: Ambarish Jash

Found 4 papers, 0 papers with code

User Embedding Model for Personalized Language Prompting

no code implementations10 Jan 2024 Sumanth Doddapaneni, Krishna Sayana, Ambarish Jash, Sukhdeep Sodhi, Dima Kuzmin

Modeling long histories plays a pivotal role in enhancing recommendation systems, allowing to capture user's evolving preferences, resulting in more precise and personalized recommendations.

Recommendation Systems

Multi-Task End-to-End Training Improves Conversational Recommendation

no code implementations8 May 2023 Naveen Ram, Dima Kuzmin, Ellie Ka In Chio, Moustafa Farid Alzantot, Santiago Ontanon, Ambarish Jash, Judith Yue Li

In this paper, we analyze the performance of a multitask end-to-end transformer model on the task of conversational recommendations, which aim to provide recommendations based on a user's explicit preferences expressed in dialogue.

Dialogue Management Management +1

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