PSCon: Product Search Through Conversations

• URL: http://arxiv.org/abs/2502.13881v3
• Date: Sun, 27 Apr 2025 11:19:39 GMT
• Title: PSCon: Product Search Through Conversations
• Authors: Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Shuxi Han, Heli Ma, Zheng Wang, Yang Yang, Heng Tao Shen,
• Abstract summary: Conversational Product Search ( CPS) systems interact with users via natural language to offer personalized and context-aware product lists.<n>Most existing research on CPS is limited to simulated conversations, due to the lack of a real CPS dataset driven by human-like language.<n>In this paper, we propose a CPS data collection protocol and create a new CPS dataset, called PSCon, which assists product search through conversations with human-like language.
• Score: 55.94925947614474
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Conversational Product Search ( CPS ) systems interact with users via natural language to offer personalized and context-aware product lists. However, most existing research on CPS is limited to simulated conversations, due to the lack of a real CPS dataset driven by human-like language. Moreover, existing conversational datasets for e-commerce are constructed for a particular market or a particular language and thus can not support cross-market and multi-lingual usage. In this paper, we propose a CPS data collection protocol and create a new CPS dataset, called PSCon, which assists product search through conversations with human-like language. The dataset is collected by a coached human-human data collection protocol and is available for dual markets and two languages. By formulating the task of CPS, the dataset allows for comprehensive and in-depth research on six subtasks: user intent detection, keyword extraction, system action prediction, question selection, item ranking, and response generation. Moreover, we present a concise analysis of the dataset and propose a benchmark model on the proposed CPS dataset. Our proposed dataset and model will be helpful for facilitating future research on CPS.

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