Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots-Reference-Cited by-同舟云学术

Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Gu Jia-Chen¹,Liu Hui²,Ling Zhen-Hua¹,Liu Quan³,Chen Zhigang⁴,Zhu Xiaodan²

Affiliation:

1. University of Science and Technology of China, Hefei, China

2. Queen's University, Kingston, Canada

3. University of Science and Technology of China & iFLYTEK Research, Hefei, China

4. iFLYTEK Research, Hefei, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462858

Reference40 articles.

1. User Experience Comparison of Intelligent Personal Assistants: Alexa, Google Assistant, Siri and Cortana;Berdasco Ana;Multidisciplinary Digital Publishing Institute Proceedings,2019

2. Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis

3. Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dialogue act-based partner persona extraction for consistent personalized response generation;Expert Systems with Applications;2024-11

2. Using Large Language Models for Adaptive Dialogue Management in Digital Telephone Assistants;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

3. The Design and application of RAG-based conversational agents for collaborative problem solving;Proceedings of the 2024 9th International Conference on Distance Education and Learning;2024-06-14

4. Exploring Dense Retrieval for Dialogue Response Selection;ACM Transactions on Information Systems;2024-01-22

5. Topic-Enhanced Personalized Retrieval-Based Chatbot;Lecture Notes in Computer Science;2023