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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Format: | Article |
Language: | English |
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Inforec Association
2012-01-01
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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. |
first_indexed | 2024-12-16T07:26:15Z |
format | Article |
id | doaj.art-c484b00a2ddc46528fc32641bfc5b9e3 |
institution | Directory Open Access Journal |
issn | 1453-1305 1842-8088 |
language | English |
last_indexed | 2024-12-16T07:26:15Z |
publishDate | 2012-01-01 |
publisher | Inforec Association |
record_format | Article |
series | Informatică economică |
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 |