Collective Intelligence-Based Web Page Search: Combining Folksonomy and Link-Based Ranking Strategy

— With the exponentially growing amount of information available on the Internet, retrieving web pages of interest has become increasingly difficult. While several web page recommender systems have been developed, it is still difficult to search related information which reflects users’ preference. In this paper, we propose a new type of web page search which is based on the collective intelligence. It combines folksonomy and link-based ranking evaluation scheme so as to accommodate users’ preferences. We implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme. Keywords - Collective Intelligence; Folksonomy; Ranking Strategy; Link-Based Web Search

• Type: Conference
• Year: 2009
• Where: IEEECIT
• Authors: Tao Zhang, Byungjeong Lee, Sooyong Kang, Hanjoon Kim, Jinseog Kim
• Keywords: Collective Intelligence, IEEECIT 2009, Information Technology, Web Page, Web Page Search