@inproceedings{b1849f010ad04bbc84fc8260c93528c2,
title = "Collaborative filtering technique for web service recommendation based on user-operation combination",
abstract = "The tremendous growth in the amount of available web services impulses many researchers on proposing recommender systems to help users discover services. Most of the proposed solutions analyzed query strings and web service descriptions to generate recommendations. However, these text-based recommendation approaches depend mainly on user's perspective, languages and notations which easily decrease recommendation's efficiency. In this paper, we present our approach in which we take into account historical usage data instead of the text based analysis. We apply collaborative filtering technique on user's interactions. We propose and implement three algorithms based on Vector Space Model to validate our approach. We also provide evaluation methods based on the precision, recall and root mean square error in order to compare and assert the efficiency of our algorithms.",
keywords = "Recommender system, Vector space model, Web service",
author = "Chan, \{Nguyen Ngoc\} and Walid Gaaloul and Samir Tata",
year = "2010",
month = dec,
day = "20",
doi = "10.1007/978-3-642-16934-2\_17",
language = "English",
isbn = "3642169333",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "222--239",
booktitle = "On the Move to Meaningful Internet Systems, OTM 2010 - Confederated International Conferences",
edition = "PART 1",
note = "9th Confederated International Conferences on On the Move to Meaningful Internet Systems, OTM 2010: CoopIS 2010, IS 2010, DOA 2010 and ODBASE 2010 ; Conference date: 25-01-2010 Through 29-01-2010",
}