A Conceptual Framework for Conversational Search and Recommendation: Conceptualizing Agent-Human Interactions During the Conversational Search Process
원문 초록
The conversational search task aims to enable a user to resolve information needs via natural language dialogue with an agent. In this paper, we aim to develop a conceptual framework of the actions and intents of users and agents explaining how these actions enable the user to explore the search space and resolve their information need. We outline the different actions and intents, before discussing key decision points in the conversation where the agent needs to decide how to steer the conversational search process to a successful and/or satisfactory conclusion. Essentially, this paper provides a conceptualization of the conversational search process between an agent and user, which provides a framework and a starting point for research, development and evaluation of conversational search agents.
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ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
Efficient Conversational Search via Topical Locality in Dense Retrieval
Dense Passage Retrieval in Conversational Search
Improving the Reusability of Conversational Search Test Collections
Conversational Gold: Evaluating Personalized Conversational Search System using Gold Nuggets
DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search
토론
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