Integration of relational databases and Web site content for product and page recommendation

The World Wide Web is the most popular area to which information retrieval and recommending systems are applied. The majority of techniques uses the Web site content and usage as a source of data. Nevertheless, modern Websites cooperate with more structured relational databases which can successfully enrich traditional approaches. In This work a new technique integrating Web page content, site usage and relational textual and nontextual data in one coherent system is presented. The final goal is to recommend Web pages and products in an e-commerce site using unified data within the agent based ROSA system.