Implementing Recommendation Algorithms for Decision Making Processes

This paper's contribution is placed into decision-making process research area. In our previous papers we showed how decision maker’s behavior can be captured in logs and how an aggregated decision data model (DDM) can be mined. We now introduce two recommendation algorithms that rely on a DDM....

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Main Authors: Paula-Ligia STANCIU, Razvan PETRUSEL
Format: Article
Language:English
Published: Inforec Association 2012-01-01
Series:Informatică economică
Subjects:
Online Access:http://www.revistaie.ase.ro/content/63/08%20-%20Stanciu,%20Petrusel.pdf
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author Paula-Ligia STANCIU
Razvan PETRUSEL
author_facet Paula-Ligia STANCIU
Razvan PETRUSEL
author_sort Paula-Ligia STANCIU
collection DOAJ
description This paper's contribution is placed into decision-making process research area. In our previous papers we showed how decision maker’s behavior can be captured in logs and how an aggregated decision data model (DDM) can be mined. We now introduce two recommendation algorithms that rely on a DDM. Each algorithm aims to steer the decision maker's actions towards a fully informed decision by suggesting the next action to be performed. The first algorithm is a Greedy approach that recommends the most frequent activities performed by other decision makers. The second algorithm is inspired from A* path finding algorithm. It finds a decision sub-objective and tries to guide the decision maker on the path to it. We eval-uate these algorithms by comparing them with each other and to the classical association rules approach. It is not our intention to recommend the better decision alternative. We want to make sure the decision makers made an informed decision by correctly and completely evaluating all alternatives. This is an extended version of the paper published at IE 2012 Conference.
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spelling doaj.art-c484b00a2ddc46528fc32641bfc5b9e32022-12-21T22:39:30ZengInforec AssociationInformatică economică1453-13051842-80882012-01-0116387104Implementing Recommendation Algorithms for Decision Making ProcessesPaula-Ligia STANCIURazvan PETRUSELThis paper's contribution is placed into decision-making process research area. In our previous papers we showed how decision maker’s behavior can be captured in logs and how an aggregated decision data model (DDM) can be mined. We now introduce two recommendation algorithms that rely on a DDM. Each algorithm aims to steer the decision maker's actions towards a fully informed decision by suggesting the next action to be performed. The first algorithm is a Greedy approach that recommends the most frequent activities performed by other decision makers. The second algorithm is inspired from A* path finding algorithm. It finds a decision sub-objective and tries to guide the decision maker on the path to it. We eval-uate these algorithms by comparing them with each other and to the classical association rules approach. It is not our intention to recommend the better decision alternative. We want to make sure the decision makers made an informed decision by correctly and completely evaluating all alternatives. This is an extended version of the paper published at IE 2012 Conference.http://www.revistaie.ase.ro/content/63/08%20-%20Stanciu,%20Petrusel.pdfDecision Data ModelRecommendation AlgorithmDecision ProcessDecision PathDecision Maker Activity
spellingShingle Paula-Ligia STANCIU
Razvan PETRUSEL
Implementing Recommendation Algorithms for Decision Making Processes
Informatică economică
Decision Data Model
Recommendation Algorithm
Decision Process
Decision Path
Decision Maker Activity
title Implementing Recommendation Algorithms for Decision Making Processes
title_full Implementing Recommendation Algorithms for Decision Making Processes
title_fullStr Implementing Recommendation Algorithms for Decision Making Processes
title_full_unstemmed Implementing Recommendation Algorithms for Decision Making Processes
title_short Implementing Recommendation Algorithms for Decision Making Processes
title_sort implementing recommendation algorithms for decision making processes
topic Decision Data Model
Recommendation Algorithm
Decision Process
Decision Path
Decision Maker Activity
url http://www.revistaie.ase.ro/content/63/08%20-%20Stanciu,%20Petrusel.pdf
work_keys_str_mv AT paulaligiastanciu implementingrecommendationalgorithmsfordecisionmakingprocesses
AT razvanpetrusel implementingrecommendationalgorithmsfordecisionmakingprocesses