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Description
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The Web represents a key driving force for a large spectrum of applications in which users interact with or within companies, organizations, governmental agencies, and educational or collaborative environments. User preferences and expectations, together with usage, content, and structural patterns obtained from the Web, form the basis for intelligent, personalized, and business-optimal services. Key Web business metrics enabled by proper data collection and processing are essential to run an effective business or service. Enabling technologies include data mining, scalable data warehousing and preprocessing, sequence discovery, real time processing, document classification, user modeling and evaluation models. Recipient technologies that demand for user profiling and usage patterns include recommendation systems, Web analytics applications, content management systems, and fraud or intrusion detection systems.
The inherent and increasing heterogeneity of the Web has required Web-based applications to more effectively integrate a variety of types of data across multiple channels and from different sources. The development of techniques and architectures for more effective integration and mining of content, usage, and structure data from different sources is likely to lead to the next generation of more useful and more intelligent Web applications. ....
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Category
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More details (event webpage):
www.iita-conference.org
Apply for event:
Link
Event language:
English
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