@inproceedings{f313bf69190f4101b741569ea24e9c72,
title = "A user re-modeling approach to item recommendation using complex usage data",
abstract = "We study the problem of item recommendation using complex usage data. We assume that users may interact with items in various ways, each such interaction generates a usage point which may be accompanied with multiple feedback types. In addition, each user may interact with each item multiple times. We propose a generic framework that re-models the user vectors as a post-processing step that can be applied to any Matrix Factorization (MF) method. Using an evaluation on several heterogeneous real-world datasets, we demonstrate the effectiveness of the approach and demonstrate its superiority over two alternative methods.",
author = "Shalom, \{Oren Sar\} and Haggai Roitman and Yishay Mansour and Amir Amihood",
note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017 ; Conference date: 01-10-2017 Through 04-10-2017",
year = "2017",
month = oct,
day = "1",
doi = "10.1145/3121050.3121061",
language = "الإنجليزيّة",
series = "ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval",
pages = "201--208",
booktitle = "ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval",
}