Nonfiction 7

Adaptive and Personalized Semantic Web by Christos Makris, Yannis Panagis (auth.), Spiros Sirmakessis

By Christos Makris, Yannis Panagis (auth.), Spiros Sirmakessis Dr. (eds.)

Web Personalization may be outlined as any set of activities which could tailor the net event to a selected consumer or set of clients. to accomplish potent personalization, companies needs to depend upon all on hand information, together with the utilization and click-stream facts (reflecting consumer behaviour), the positioning content material, the location constitution, area wisdom, in addition to consumer demographics and profiles. moreover, effective and clever thoughts are had to mine this information for actionable wisdom, and to successfully use the found wisdom to reinforce the clients' net adventure. the purpose of the overseas Workshop on Adaptive and custom-made Semantic net that used to be held within the 16th ACM convention on Hypertext and Hypermedia (September 6-9, 2005, Salzburg, Austria) was once to assemble researchers and practitioners within the fields of net engineering, adaptive hypermedia, semantic net applied sciences, wisdom administration, info retrieval, consumer modelling, and different similar disciplines which supply allowing applied sciences for personalisation and version at the world-wide-web. The publication comprises the papers offered through the workshop. displays of the papers can be found on-line at

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Cardona, C. Rojas, and F. Gonzalez. Tecno-streams: Tracking evolving clusters in noisy data streams with a scalable immune system learning model. In Third IEEE International Conference on Data Mining (ICDM’03), Melbourne, FL, November 2003. 29. O. Nasraoui and R. Krishnapuram. A new evolutionary approach to web usage and context sensitive associations mining. International Journal on Computational Intelligence and Applications – Special Issue on Internet Intelligent Systems, 2(3):339–348. 30. O.

Pavuluri. Complete this puzzle: A connectionist approach to accurate web recommendations based on a committee of predictors. In WebKDD- 2004 workshop on Web Mining and Web Usage Analysis , B. Mobasher, B. Liu, B. Masand, O. Nasraoui, Eds, Seattle, WA, Aug 2004. 34. O. Nasraoui and C. Petenes. Combining web usage mining and fuzzy inference for website personalization. In Proc. of WebKDD 2003 KDD Workshop on Web mining as a Premise to Effective and Intelligent Web Applications, p. 37, Washington DC, August 2003.

Later, we will detect and track the temporal dynamics of profiles through these predefined events: birth, death, and atavism (rebirth) by symbolic time series analysis or mining sequential episodes. This approach can be used to visualize the evolution of user interests, discover seasonality and other higher level causality or cross-temporal correlations. For example, Sequential Association Rules of the form: {Profile1 → Profile2: support= 5%, confidence = 50%, time difference = n days}. Fig. 4. 5 Hybrid Recommender System An illustration of the proposed system is shown in Fig.

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