International Journal of Information Technology & Management Information System (IJITMIS), ISSN 0976 – 6405(Print), ISSN 0976 – 6413(Online), Volume 5, Issue 1, January - April (2014), © IAEME 12 WEB USAGE MINING CONTEXTUAL FACTOR: HUMAN INFORMATION BEHAVIOR Ms. Ravita Mishra Information Technology Dept, Ramrao Adik Institute of Technology, Nerul Navi Mumbai, India ABSTRACT With the rapid development of information technology, the World Wide Web has been widely used in various applications, such as search engines, online learning and electronic commerce. These applications are used by a diverse population of users with heterogeneous backgrounds, in terms of their knowledge, skills, and needs. Therefore, human factors are key issues for the development of web-based application and research. This paper first identifies reviews from different authorsand then examines the three important human factors: gender differences, prior knowledge, and cognitive styles. The review result is not significantly correct; a new model is proposed that will access the data (log data) and show the human access behavior. The proposed model has two stages: web intelligence and navigation pattern. Stage 1(web intelligence system) captures data from different server and converts in the form of table (data store). Stage 2 uses the N-gram algorithm which assumes that the last N-pages browsed affect the probability of the next page to be visited, and user navigation sessions are modelled as a hypertext probabilistic grammar whose higher probability strings correspond to the user’s preferred trails.In this paper web caching and pre- fetching are two important approaches used to reduce the noticeable response time perceived by users.The model improves the navigation pattern of users and find the users behavior ( gender difference and user type) that finding is used by site designer and researchers and also used for detecting and avoiding the terror threats caused by terrorists all over the world.The paper is organized into five different parts, first part contain introduction, second part contain different type of web mining third part contain usage mining on the web and forth part contain analysis of human factor and evaluation technique,fifth part contain propose methodology and last part contains application, limitation, conclusion and further work. Keywords: Pattern Discovery, Contextual factor, Information Retrieval, N-gram, Gender difference, Cognitive style and Prior experience. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & MANAGEMENT INFORMATION SYSTEM (IJITMIS) ISSN 0976 – 6405(Print) ISSN 0976 – 6413(Online) Volume 5, Issue 1, January - April (2014), pp. 12-29 © IAEME: http://www.iaeme.com/IJITMIS.asp Journal Impact Factor (2013): 5.2372 (Calculated by GISI) www.jifactor.com IJITMIS © I A E M E