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- posterAugust 2011
Mining mobility data to minimise travellers' spending on public transport
KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data miningPages 1181–1189https://doi.org/10.1145/2020408.2020590As the public transport infrastructure of large cities expands, transport operators are diversifying the range and prices of tickets that can be purchased for travel. However, selecting the best fare for each individual traveller's needs is a complex ...
- posterAugust 2011
Content-driven trust propagation framework
KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data miningPages 974–982https://doi.org/10.1145/2020408.2020567Existing fact-finding models assume availability of structured data or accurate information extraction. However, as online data gets more unstructured, these assumptions are no longer valid. To overcome this, we propose a novel, content-based, trust ...
- demonstrationAugust 2011
Article clipper: a system for web article extraction
KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data miningPages 743–746https://doi.org/10.1145/2020408.2020525Many people use the Web as the main source of information in their daily lives. However, most web pages contain non-informative components such as side bars, footers, headers, and advertisements, which are undesirable for certain applications like ...
- research-articleAugust 2011
Collaborative topic modeling for recommending scientific articles
KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data miningPages 448–456https://doi.org/10.1145/2020408.2020480Researchers have access to large online archives of scientific articles. As a consequence, finding relevant papers has become more difficult. Newly formed online communities of researchers sharing citations provides a new way to solve this problem. In ...