TITPI: Web People Search Task Using Semi-Supervised Clustering Approach

Most of the previous works that disambiguate personal names in Web search results employ agglomerative clustering approaches. However, these approaches tend to generate clusters that contain a single element depending on a certain criterion of merging similar clusters. In contrast to such previous works, we have adopted a semisupervised clustering approach to integrate similar documents into a labeled document. Moreover, our proposed approach is characterized by controlling the fluctuation of the centroid of a cluster in order to generate more accurate clusters.