A mouse-trajectory based model for predicting query-URL relevance

• Main Authors: Song, Hengjie, Liao, Ruoxue, Zhang, Xiangliang, Yang, Qiang, Miao, Chun Yan
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/104498; http://hdl.handle.net/10220/18850; http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/4968
• Institution: Nanyang Technological University

For the learning-to-ranking algorithms used in commercial search engines, a conventional way to generate the training examples is to employ professional annotators to label the relevance of query-url pairs. Since label quality depends on the expertise of annotators to a large extent, this process is...