Pseudo-anchor text extraction for searching vertical objects

Shuming Shi, Fei Xing, Mingjie Zhu, Zaiqing Nie, Ji-Rong Wen

Abstract: This paper examines the problem of utilizing pseudo-anchor text to help ranking Web objects in vertical search. We adopt a machine learning based approach to extract pseudo-anchor text for a vertical object from its candidate anchor blocks. Experiments in academic search domain indicate that our approach is able to dramatically improve search performance.