Selecting Query-bag as Pseudo Relevance Feedback for Information-seeking Conversations

arXiv:2404.04272v1 Announce Type: cross
Abstract: Information-seeking dialogue systems are widely used in e-commerce systems, with answers that must be tailored to fit the specific settings of the online system. Given the user query, the information-seeking dialogue systems first retrieve a subset of response candidates, then further select the best response from the candidate set through re-ranking. Current methods mainly retrieve response candidates based solely on the current query, however, incorporating similar questions could introduce more diverse content, potentially refining the …

abstract arxiv bag commerce conversations cs.cl cs.ir dialogue e-commerce feedback information query systems the information type