Yi Chang, Huawei Research America
Friday, September 15, 2017
3:30 PM in Rice Hall Auditorium
Host: Hongning Wang
Title: Improving Relevance Ranking for Search Engines
Relevance ranking of search engine is a billion-dollar challenge, while there is a disadvantage of backwardness in web search competition. Learning to rank algorithms could effectively improve relevance ranking, yet it is a systematic effort to continuously improve the relevance of a search engine. In this talk, I will introduce the background and the most recent advances in this topic, in particular, three key techniques: ranking functions, semantic matching features and query rewriting. The major part of this talk is based on our KDD’2016 Best Paper Award (Applied Data Science Track).
About the speaker:
Dr. Yi Chang is a Technical Vice President at Huawei Research America, where he is leading Huawei’s newly built Search Technology Lab. He was at Yahoo Research from 2006 to 2016, where he was a research director, and in charge of relevance of Yahoo’s web search engine and vertical search engines. He has broad research interests on information retrieval, data mining, applied machine learning, and natural language processing. He has published more than 100 research papers in premium conferences or journals, and received the Best Paper Award on WSDM’2016, the Best Paper Award on KDD’2016 separately. He has actively involved in multiple academia services, and he will serve as the general chair of WSDM’2018.