Speaker: Dr. Ido Guy
Title: Generating Tips from
In this work, we propose an extractive method for tip generation from product reviews. We focus on five popular e-commerce domains whose reviews tend to contain useful non-trivial tips that are beneficial for potential customers. We formally define the task of tip extraction in e-commerce by providing the list of tip types, tip timing (before and/or after the purchase), and connection to the surrounding context sentences. To extract the tips, we propose a supervised approach and provide a labeled dataset, annotated by human editors, over 14,000 product reviews using a dedicated tool. To demonstrate the potential of our approach, we compare different tip generation methods and evaluate them both manually and over the labeled set. Our approach demonstrates especially high performance for popular products in the Baby, Home Improvement and Sports & Outdoors domains, with precision of over 95% for the top 3 tips per product.
Ido Guy is a Director of Applied Research and Chief Scientist at eBay Israel, where he has been building and heading teams in Israel, the US, and Europe who apply machine learning and natural language processing to the world's largest e-commerce inventory. His teams bring models to production, with direct impact on the catalog, such as reduction of duplicate rate, growth of image coverage, and generation of product titles and descriptions. Before joining eBay, he spent nearly 3 years at Yahoo Research as a Principal Research Engineer, focusing on data science for Yahoo products in web search and questions answering. Prior to that, Ido was a senior technical staff member (STSM) and manager of the Social Technologies group, an area that he established and managed in 2007-2014, as part of the IBM Haifa Research Lab. Ido holds B.Sc (Software Engineering) and M.Sc (Computer Science) from the Technion, Israel Institute of Technology, both Summa Cum Laude, and a PhD (Software and Information Systems Engineering) from Ben-Gurion University of the Negev. He is currently an Associate Professor (adjunct) at the Ben-Gurion University of the Negev. Ido is a co-author of over 70 scientific papers in the fields of Data Mining, Human-Computer Interaction, Computer-Supported Cooperative Work, Information and Knowledge Management, Information Retrieval, and Recommender Systems. He served as Program co-chair for RecSys 2012 and is part of the conference series executive committee.