Models and methods for building web recommendation systems

: pp. 75 – 78
Stekh Y., Artsibasov V.

Lviv Polytechnic National University CAD Departament

Modern Word Wide Web contains a large number of Web sites and pages in each Web site. Web recommendation system (recommendation system for web pages) are typically implemented on web servers and use the data obtained from the collection viewed web templates (implicit data) or user registration data (explicit data). In article considering methods and algorithms of web recommendation system based on the technology of data mining (web mining).

1. Kosala R., Blockeel H. Web mining research: a survey // SIGKDD Exploration. – Vol. 2. – P. 1– 15, 1997. 2. Arocena G., Mendelzon A. Weblog: restructuring documents, databases, and webs // Theory and Practice of Object Systems. – Vol. 5. – P. 127–141, 1999. 3. Balabanovi’c M., Shoham Y. Fab: content-based, collaborative recommendation // Communications of the ACM. – Vol. 40. – P. 66–70. 4. Bucher A., Baumgarten M., Anand S., Mulvenn M., Hughes J. Navigation pattern discovery from internet data // Proc. of the WEBKDD’99 Workshop on the Web Usage Analysis and User Profiling, August 15, 1999, San Diego, USA. 5. Agrawal R., Srikant R. Fast algorithm for mining association rules. Proc. of the 20th VLDB Conference, Santjago, Chile, 1994. 6. Bing Liu Web Data Mining: exploring hyperlinks, contents, and usage data. Springer-Verlag, Berlin Heidelberg, 2007. 7. Zang H., Spiliopoulou M., Mobasher B., Giles C., McCallum A., Nasraoui O., Srivastava J., Yen J. Advances in Web Mining and Usage Analysis // Proc. 9th Iternational Workshop on Knowledge Discovery on the Web and 1th Iternational Workshop on Social Networks Analysis, San Jose, August 12–15, 2007. 8. Fisher-Huber ] S., Lambrinoudakis C., Pernul G. Trust, Privacy and Security in Digital Business.// Proc. 6th International Conference, Trust Bus 2009, Linz, Austria, September 3–4, 2009. 9. Chakrabarti S. Mining the Web: discovering knowledge from hypertext data. Morgan – Kaufman Publisher, 2002. – 352 p. 10. Johanson P. Design and development of recommender dialogue systems. // Linkopings Studies in Science and Technology, Thesis No. 1079, 2004. – 129 p. 11. Jansen B.J., Spink A., I. Taksa I. Hdbook of research on Web Log Analysis.. IGI Global. – 2009. – 523 p.12. Sharda N. Tourism informatics: visual travel rscommender systems, social communities, and user interface design. IGI Global, 2010, 276 pp. 13. Uchyigit G., Ma M.Y. Personalization technigues and recommender systems. Word Scietific Publishing Co., 2008. – 303 p.