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

• Published in: Proceedings. International Database Engineering and Applications Symposium, 2004. IDEAS '04 pp. 111 - 116
• Main Authors: Kazienko, P., Kiewra, M.
• Format: Conference Proceeding
• Language: English
• Published: Los Alamitos CA IEEE 2004; IEEE Computer Society
• Subjects: Applied sciences; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Database systems; Electronic commerce; Exact sciences and technology; Filtering; Hard disks; Information retrieval; Information systems; Information systems. Data bases; Manufacturing; Memory organisation. Data processing; Relational databases; Software; Web pages; Web sites; Textual data; Information integration; Information system; Relational database; Information retrieval; Recommendation; Multiagent system; World wide web; Database; Electronic trade; Internet; Web site; Artificial intelligence; User behavior
• ISBN: 9780769521688; 0769521681
• ISSN: 1098-8068
• DOI: 10.1109/IDEAS.2004.1319784

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.