ConvERSe'20: WSDM 2020关于电子商务推荐和搜索会话系统的研讨会

Eugene Agichtein, Dilek Z. Hakkani-Tür, S. Kallumadi, S. Malmasi
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引用次数: 7

摘要

近年来,会话系统得到了极大的改进,并在学术文献中受到越来越多的关注。由于电子商务搜索和推荐源与虚拟助手(如Alexa、Siri和谷歌助手)的集成增加,这些系统也开始适应电子商务。然而,重大的研究挑战仍然跨越对话系统、口语自然语言处理、人机交互、搜索和推荐系统等领域,这些都随着电子商务的要求而加剧。本次研讨会的目的是将对话系统、人机交互、信息检索和推荐系统领域的研究人员和实践者聚集在一起。将不同的研究领域汇集到一个研讨会中,将加速使对话系统适应电子商务领域、制定研究议程、研究如何建立和共享数据集以及建立共同的评估指标和基准以推动研究进展等方面的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search
Conversational systems have improved dramatically recently, and are receiving increasing attention in academic literature. These systems are also becoming adapted in E-Commerce due to increased integration of E-Commerce search and recommendation source with virtual assistants such as Alexa, Siri, and Google assistant. However, significant research challenges remain spanning areas of dialogue systems, spoken natural language processing, human-computer interaction, and search and recommender systems, which all are exacerbated with demanding requirements of E-Commerce. The purpose of this workshop is to bring together researchers and practitioners in the areas of conversational systems, human-computer interaction, information retrieval, and recommender systems. Bringing diverse research areas together into a single workshop would accelerate progress on adapting conversation systems to the E-Commerce domain, to set a research agenda, to examine how to build and share data sets, and to establish common evaluation metrics and benchmarks to drive research progress.
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