Conversational systems have improved dramatically recently, and are receiving increasing attention in academic literature. 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 WSDM ConvERSe workshop will 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.
WSDM ConvERSe is a full day workshop taking place on Friday, February 7, 2020 in conjunction with WSDM 2020 in Houston, Texas.
Hamed Zamani is a Researcher at Microsoft, working on a wide range of problems on neural information retrieval and conversational search. He obtained his Ph.D. in Computer Science from the University of Massachusetts Amherst under direction of W. Bruce Croft. Hamed is an active member of the information retrieval (IR) community and is broadly interested in developing statistical and machine learning models with applications to information access systems, including search engines, question answering, and recommender systems. Much of his past research has focused on developing neural models for core IR tasks and proposing solutions for training these models in the absence of large-scale training data.
Vanessa Murdock leads a research group at Amazon Research, whose focus is personalization and recommender systems. Previously, she worked in an eCommerce group at Microsoft as Principal Data Scientist, leading a research team that developed ML techniques for account attribution, advertising, and device fingerprinting. Prior to Microsoft, Murdock worked at Yahoo! Research in Barcelona, Spain where she led the Geographic Context and Experience Group, doing research on topics related to geographic information retrieval and user-generated content. She has been awarded 15 patents, and has more than 30 patent applications pending, resulting in a Master Inventor Award from Yahoo! (2012). She received the OAA Award for Outstanding Achievement by a Young Alum from the University of Massachusetts in 2014. She has more than 50 publications in the area of Information Retrieval. Murdock received a Ph.D. in Computer Science from the University of Massachusetts Amherst in 2006.
Pino Di Fabbrizio is VUI, Inc.’s Chief Technology Officer and co-founder. Before VUI, he was a principal research scientist and group leader at the Rakuten Institute of Technology in Boston. He was previously a senior research scientist at Amazon Alexa Science and a lead research scientist at AT&T – Labs Research. His research interests and publication topics include conversational agents, machine learning, natural language understanding, natural language generation, and large-scale speech system architectures. He published more than 70 papers and was awarded 30 patents. As a senior IEEE member, he regularly contributes to international scientific committees and editorial boards.
Andrei Lopatenko is a Vice-President of Search and Conversational AI in Zillow Group where his team develops search technologies and Conversational AI technologies for businesses within Zillow Group. He earned the PhD degree in Computer Science (“Logic Based Data Integration”) from the University of Manchester, UK in 2006. Since 2006 he has been working on developing consumer facing large scale machine learning technologies mostly in search and recommendation domains: Web search (Google 2006-2010, 2011-2013), Maps, Appstore, iTunes (Apple, 2010-2011, 2013-2014), eCommerce (Walmart Labs, eBay, 2014-2016), Real Estate (Zillow Group, 2019- ). He has developed and led multi-national teams owning search stacks from applied science and research to production / devops / SRE.
Rishiraj Saha Roy is a Senior Researcher at the Max Planck Institute for Informatics (MPII), Saarbruecken, Germany, leading the research group on Question Answering. In general, he is really passionate about applying language technology in and around text-based search. In recent years, he has served on the PCs of conferences like SIGIR, AAAI, EMNLP, and NAACL. Prior to joining MPII, he worked for one and a half years as a Computer Scientist at Adobe Research, Bangalore, India. He completed his PhD as a Microsoft Research India PhD Fellow from the Indian Institute of Technology (IIT) Kharagpur. When not working, he can be found poring over all kinds of word and logic puzzles.
|Emine Yilmaz |
University College London
Microsoft AI Research, USA
|9:00 am||Opening Remarks|
Towards Mixed-Initiative Conversational Search
|10:00 am||Coffee Break|
|10:30 am||Contributed Talk
You Sound Like You Watch Action Movies: Towards Predicting Movie Preferences from Conversational Interactions
Sergey Volokhin, Joyce Ho, Eugene Agichtein
|10:50 am||Invited Talk
Future Directions in Alexa Shopping Research
|11.30 am||Panel Discussion
Trust, Transparency, Utility and Limitations of Conversational Search and Recommendation Systems for E-Commerce
Eugene Agichtein Emory University, USA
Ed Chi Google, USA
Vanessa Murdock Amazon, USA
Emine Yilmaz University College London, UK
Hamed Zamani Microsoft AI Research, USA
|12:30 pm||Lunch Break (Lunch not provided)
|2:00 pm||Invited Talk
Conversational agents for e-commerce: getting strong now
Giuseppe “Pino” Di Fabbrizio
|2:40 pm||Contributed Talk
MT-BioNER: Multi-task biomedical named entity recognition for conversational systems
Muhammad Raza Khan, Morteza Ziyadi, Mohamed Abdelhady
|3:00 pm||Coffee Break|
|3:30 pm||Invited Talk
Conversational AI applications in Real Estate
|4:10 pm||Invited Talk
Overview of the 2019 Dagstuhl Seminar on Conversational Search
Rishiraj Saha Roy
|4:50 pm||Group Discussion|