CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations
Authors: 
Revanth Gangi Reddy, Sharath Chandra, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang ZhaiAuthors Info & Claims
Revanth Gangi Reddy, Sharath Chandra, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang ZhaiAuthors Info & ClaimsPages 1050 - 1053
Abstract
Chatbots are often hindered by the latency associated with integrating real-time web search results, compromising user experience. To overcome this, we present CharmBana, an innovative social chatbot that introduces the use of progressive response generation to effortlessly blend search results into the bot's responses, while ensuring low response latency. The use of progressive responses is especially beneficial for voice-based chatbots, where the preliminary response buys time for a detailed follow-up, ensuring a smooth user interaction. As a result, our method not only cuts down user waiting times by 50% but also generates more relevant, precise, and engaging search inquiries. When tested in the Alexa Prize Socialbot Grand Challenge 5, our chatbot employing progressive responses consistently received higher user ratings.
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- CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations
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Published In
March 2024
1246 pages
ISBN:9798400703713
DOI:10.1145/3616855
- General Chairs:
- Luz Angélica,
- Silvio Lattanzi,
- Andrés Muñoz Medina,
- Program Chairs:
- Leman Akoglu,
- Aristides Gionis,
- Sergei Vassilvitskii
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Published: 04 March 2024
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WSDM '24: The 17th ACM International Conference on Web Search and Data Mining
March 4 - 8, 2024
Merida, Mexico
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