Keyword extraction for contextual advertisement

As the largest online marketplace, eBay strives to promote its inventory throughout the Web via different types of online advertisement. Contextually relevant links to eBay assets on third party sites is one example of such advertisement avenues. Keyword extraction is the task at the core of any contextual advertisement system. In this paper, we explore a machine learning approach to this problem. The proposed solution uses linear and logistic regression models learnt from human labeled data, combined with document, text and eBay specific features. In addition, we propose a solution to identify the prevalent category of eBay items in order to solve the problem of keyword ambiguity. Categories and Subject Descriptors ontent Analysis and Indexing]: Abstracting methods General Terms: Algorithms, experimentation

• Type: Conference
• Year: 2008
• Where: WWW
• Authors: Xiaoyuan Wu, Alvaro Bolivar
• Keywords: Contextual Advertisement System, EBay Items, EBay Specific Features, Internet Technology, WWW 2008