Abstract—Web mining is the application of the data mining which is useful to extract the knowledge. Web mining has been explored to different techniques have been proposed for the variety of the application. Most research on Web mining has been from a ‘data- centric’ or information based point of view. Web usage mining, Web structure mining and Web content mining are the types of Web mining. Web usage mining is used to mining the data from the web server log files. Web Personalization is one of the areas of the Web usage mining that can be defined as delivery of content tailored to a particular user or as personalization requires implicitly or explicitly collecting visitor information and leveraging that knowledge in your content delivery framework to manipulate what information you present to your users and how you present it. In this paper, we have focused on various Web personalization categories and their research issues. Index Terms—Web mining, web usage mining, web personalization. I. INTRODUCTION Data Mining (the analysis step of the Knowledge Discovery in Databases process, or KDD), a relatively young and interdisciplinary field of computer science, is the process of discovering new patterns from large data sets involving methods from statistics and artificial intelligence but also database management. Web mining is the application of data mining techniques to extract knowledge from Web data including web documents, hyperlinks between documents, usage logs of web sites, etc [1]. Two different approaches were taken in initially defining Web mining. First was a „process- centric view‟, which defined Web mining as a sequence of tasks [2]. Second was a ‟data- centric view‟, which defined Web mining in terms of the types of Web data that was being used in the mining process [3]. We decompose the web mining to following sub tasks [4]:  Resource Finding: the task of retrieving indented Web documents.  Information Selection and Pre-processing: automatically selecting and pre-processing specific information from retrieved web resources.  Generalization: automatically discovers general patterns at individual web sites as across multiple sites.  Analysis: validation and /or interpretation of the mined patterns. Fig. 1. The types and sources of Web mining The above Fig. 1 shows the types and sources of Web mining. Web Content Mining is the process of extracting useful information from the contents of Web documents. Content data corresponds to the collection of facts a Web page was designed to convey to the users. It may consist of text, images, audio, video, or structured records such as lists and tables [5]. Research in web content mining encompasses resource discovery from the web, document categorization and clustering, and information extraction from web pages [6]. Web structure mining studies the web‟s hyperlink structure. It usually involves analysis of the in-links and out- links of a web page, and it has been used for search engine result ranking. [6]. Web Structure Mining can be regarded as the process of discovering structure information from the Web. This type of mining can be performed either at the (intra-page) document level or at the (inter-page) hyperlink level [5]. Web structure mining is the process of inferring knowledge from the World Wide Web organization and links between references and referents in the Web [7]. Web Usage Mining is the application of data mining techniques to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Web based applications. It also called as Web log mining. Some of the typical usage data collected at a Web site includes IP addresses, page references, and access time of the users. [5] Area of Web Usage Mining:  Personalization  System Improvement  Site Modification  Business Intelligent  Usage Characterization The remainder of the paper is structured as follows. First section reviews Web mining and its type. In other section, describes Personalization and its categories and research issues and conclusion are described. II. OVERVIEW OF THE VARIOUS PERSONALIZATION CATEGORIES Web personalization is a strategy, a marketing tool, and Web Personalization Using Web Mining: Concept and Research Issue Pooja Mehtaa, Brinda Parekh, Kirit Modi, and Paresh Solanki DOI: 10.7763/IJIET.2012.V2.192 International Journal of Information and Education Technology, Vol. 2, No. 5, October 2012 510 Manuscript received June 18, 2012; revised August 12, 2012. Pooja Mehtaa, Brinda Parekh, Kirit Modi, and Paresh Solanki are with Department of Information Technology, U. V. Patel College of Engineering, Gujarat, India (e-mail: poojamehta810@gmail.com, brin.prkh@gmail.com).