The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
A mobile tourist assistance and recommendation system based on complex networks
Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
Keyword clustering for user interest profiling refinement within paper recommender systems
Journal of Systems and Software
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Complex network theory was boosted in 1967 thanks to the experiment of Milgram: since then, the application of this special kind of graphs has given fruitful results in social science problems, from sexual disease control to music communities identification. When focusing on the problem of recommending items to a user (i.e. a customer of an e-store), the underlying transaction data can be seen as a complex network (specifically, a bipartite network): inside this structure, information about customer tastes is codified and can be of good use for future suggestions.