E-Commerce Product Search: Personalization, Diversification, And Beyond
WWW '14: 23rd International World Wide Web Conference Seoul Korea April, 2014(2014)
摘要
In this tutorial we discuss challenges, techniques and analytics in search ranking particularly applied to product search in e-commerce. Several challenges appear in this context, both from a research as well as an application standpoint. We present various approaches adopted in the industry, review well-known research techniques developed over the last decade, draw parallels to traditional web search highlighting the new challenges in this setting, and dig deep into some of the algorithmic and technical approaches developed. A specific approach that advances theoretical techniques and illustrates practical impact considered here is of identifying most suited results quickly from a large database. Settings span cold start users and advanced users for whom personalization is possible. In this context, top-k and skylines are discussed as they form a key approach that spans the web, data mining, and database communities. These present powerful tools for search across multidimensional items with clear preferences within each attribute, like product search as opposed to regular web search.
更多查看译文
关键词
Search,e-commerce,top-k,skylines,algorithms
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络