@inproceedings{69468e96db5141baa12224e084316295,
title = "An effective threshold-based neighbor selection in collaborative filtering",
abstract = "In this paper we present a recommender system using an effective threshold-based neighbor selection in collaborative filtering. The proposed method uses the substitute neighbors of the test customer who may have an unusual preferences or who are the first rater. The experimental results show that the recommender systems using the proposed method find the proper neighbors and give a good prediction quality.",
author = "Kim, {Tack Hun} and Yang, {Sung Bong}",
year = "2007",
doi = "10.1007/978-3-540-71496-5_75",
language = "English",
isbn = "3540714944",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "712--715",
booktitle = "Advances in Information Retrieval - 29th European Conference on IR Research, ECIR 2007, Proceedings",
address = "Germany",
note = "29th European Conference on IR Research, ECIR 2007 ; Conference date: 02-04-2007 Through 05-04-2007",
}