Please use this identifier to cite or link to this item:
Title: AToMRS: A Tool to Monitor Recommender Systems
Authors: Costa,A
Tiago Sá Cunha
Carlos Manuel Soares
Issue Date: 2016
Abstract: Recommender systems arose in response to the excess of available online information. These systems assign, to a given individual, suggestions of items that may be relevant. These system's monitoring and evaluation are fundamental to the proper functioning of many business related services. It is the goal of this paper to create a tool capable of collecting, aggregating and supervising the results obtained from the recommendation systems' evaluation. To achieve this goal, a multi-granularity approach is developed and implemented in order to organize the different levels of the problem. This tool also aims to tackle the lack of mechanisms to enable visually assessment of the performance of a recommender systems' algorithm. A functional prototype of the application is presented, with the purpose of validating the solution's concept.
metadata.dc.type: conferenceObject
Appears in Collections:CESE - Indexed Articles in Conferences

Files in This Item:
File Description SizeFormat 
P-00M-7K4.pdf328.85 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.