@inproceedings{d0bc01ee997341efb0d60e5ba1e03296,
title = "Ways of computing diverse collaborative recommendations",
abstract = "Conversational recommander systems adapt the sets of products they recommend in light of user feedback. Our contribution here is to devise and compare four different mechanisms for enhancing the diversity of the recommendations made by collaborative recommenders. Significantly, we increase diversity using collaborative data only. We find that measuring the distance between products using Hamming Distance is more effective than using Inverse Pearson Correlation.",
author = "Derek Bridge and Kelly, \{John Paul\}",
year = "2006",
doi = "10.1007/11768012\_6",
language = "English",
isbn = "3540346961",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "41--50",
booktitle = "Adaptive Hypermedia and Adaptive Web-Based Systems - 4th International Conference, AH 2006",
address = "Germany",
note = "4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2006 ; Conference date: 21-06-2006 Through 23-06-2006",
}