@inproceedings{1b08e543846e4dd68fb2b796cf804c24,
title = "Simple time-aware and social-aware user similarity for a KNN-based recommender system",
abstract = "In this paper we report the results of the experiment carried out by our institutions for participating in the track 1 of the the 2011 CAMRa challenge workshop. We ran some variations of a traditional user-based neighborhood recommender system based on two simple ideas: (1) Force the inclusion of household members into the neighborhood of the user and (2) increase the similarity of users that use the system if they use the system at similar time slots. The approaches are evaluated using the MAP, P@5, P@10 and AUC metrics. Results show that a small improvement is achieved on of the chosen metrics when comparing the social and time strategies to a traditional KNN approach.",
keywords = "Performance, Recommender systems",
author = "Andr{\'e}s Moreno and Harold Castro and Michel Riveill",
year = "2011",
doi = "10.1145/2096112.2096119",
language = "English",
isbn = "9781450308250",
series = "ACM International Conference Proceeding Series",
pages = "36--38",
booktitle = "5th ACM Conference on Recommender Systems - Proceedings of the RecSys'2011 ACM",
note = "5th ACM Conference on Recommender Systems, RecSys'2011: 2nd Challenge on Context-Aware Movie Recommendation, CAMRa 2011 ; Conference date: 23-10-2011 Through 27-10-2011",
}