Concept Network-based Personalized Web Search Systems
Hong-June Yune, Joon-Ho Noh, Hanjoon Kim, Byung-Jeong Lee, Sooyong Kang, Jae-Young Chang · Journal of Internet Computing and services · 2010
ABSTRACT In general, conventional search engines provide the same search results for the same queries of users, and however such techniques do not consider users' characteristics. To overcome this problem, we need a new way of personalized search which returns customized search results according to users' preferenc e. In this paper, we propose a concept network profile-based personalized web search system in which the concept network is developed for accumulating users' characteristics. The concept network-based user profile is used to expand initial search queries to achieve personalized search. The concept network is a network structure of concepts where each concept i s generated whenever each query is submitted, and it can be defined as a set of keywords extracted from the selected doc uments. Furthermore, we have improved the concept networks by augmenting intent keywords of each concept with a set of classification tags, called folksonomy, assigned to each document. For an additional personalized search technique, we p ropose a new re-ranking method that analayzes the degree of overlapped search results.