Web Mining

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Academic Year: 
2020-2021
Description: 

The course presents the main web data analysis techniques. By using the query log of a real search engine as a case study, students are guided in the development of a set of methodologies for data analysis aimed at creating the knowledge base for building a recommendation system. Then, the course discusses how the same information can be used to optimize the ranking in Web services. To this regard, the course introduces the learning to rank techniques aimed at estimating the relevance of objects with respect to specific user information needs.

Technics and tools: 

Python

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