Requirements customized recommendation in a decision-making system
Article No.: 22, Pages 1 - 5
Abstract
Decision-making requirements differ from one decisionmaker to another, hence the need to study decision-making requirements personalization. Customization is an effective response to the information overload problem by injecting into queries more restrictive filtering criteria, and by possibly reformulating queries to better take into account the interest centers and the decision maker preferences. The decision maker's preferences are obtained at the end of the exhaustive study of the decision-maker profile and taking into account the decision-maker's status with regard to the requested products.
We have decided to improve the existent models by adding to the profile a part mentioning the decision-maker belief, which allows us to elaborate the needs personalization or to pass to the customized recommendation. To develop our proposed solution we chose the sports articles trade as a study domain.
References
[1]
A. Abran, J.W. Moore, P. Bourque and R.E. Dupuis. (2004). Guide to the Software Engineering Body of Knowledge. http://www.swebok.org/.IEEE Computer Society,
[2]
Thomas Lachaume, Patrick Girard, Laurent Guittet. (2015) Prototask, Un outil de validation des modèles de taches par l'utilisateur final. 27ème Confèrence francophone sur l'Interaction Homme-Machine., Toulouse, France. IHM-2015, pp.d08
[3]
Aziza Sabri, Laila Kjiri (2012) « Processus de traitement et de formalisation des besoins métier d'un Système d'Information Décisionnel »,
[4]
M.Jackson. (2001). Problem frames:analyzin gand structuring software development problems. Addison-Wesley Longman Publishing Co., Inc.
[5]
S.Lujàn-Mora, J. A Trujillo, (2003) Comprehensive method for data warehouse design, Proceeding of the 5th International Workshop on Design and Management of Data Warehouses, DMDW'03, Berlin, Germany
[6]
F. Ghozzi, F. Ravat, O. Teste, G. Zurfluh, (2005) Méthode de conception d'une base multidimensionnelle contrainte, Revue des Nouvelles Technologies de l'Information -- Entrepôts de Données et l'Analyse en ligne (EDA'05), Cépadues éditions, volume RNTI-B-1, pages 51--70.
[7]
J. Feki, H. Ben-Abdallah, M. Ben-Abdallah, (2006) Réutilisation des patrons en étoile. 24ème Congres Informatique des Organisations et Systèmes d'Information et de Décision (INFORSID 06), Hammamet: 31 mai - 4 juin, Tunisie, pp 687--701.
[8]
Oscar Romero, and Alberto Abelló. (2007)Automating multidimensional design from ontologies. Proceedings of the ACM tenth international workshop on Data warehousing and OLAP. ACM,.
[9]
Paolo Giorgini, Stefano Rizzi, and Maddalena Garzetti. (2008) GRAnD: A goal-Oriented approach to requirement analysis in datawarehouses. Decision Support Systems 45.1:4--21.
[10]
I.G El Golli, (2008) Ingénierie des Exigences pour les Systèmes d'Information Décisionnels: Concepts, Modèles et Processus (la méthode CADWE), Thèse de Doctorat, Université Paris-Panthéon-Sorbonne, France.
[11]
N. Prakash & A.; Gosain,. (2008) An approach to engineering the requirements of data warehouses (pp. 49--72).
[12]
Jose-Norberto Mazón, and Juan Trujillo. (2009) A hybrid model driven development frame work for the multidimensional modeling of data warehouses. ACM SIGMOD Record 38.2: 12--17.
[13]
Yasser Hachaichi, and Jamel Feki. (2013) An Automatic Method For The Design of Multidimensional Schemas From Object Oriented Data bases. International Journal of Information Technology & Decision Making 12.06:1223--1259.
[14]
A. Cravero, J.-N. Mazón, & J. Trujillo, (2013) A business-oriented approach to data warehouse development. Ingeniería e Investigación, 33(1), 59--65.
[15]
Reyan Abdalaziz Ahmed, and Tarig Mohamed Ahmed. (2014) Generating data warehouse schema,. International Journal in Foundations of Computer Science & Technology (IJFCST), Vol. 4, No.1.
[16]
Shailey Chawla, Sangeeta Srivastava and Deepak Malhotra, (2014) Goal Based Requirements Analysis Using WebURN.
[17]
Azadeh Nasiri, Esteban Zimányi, Robert Wrembe, (2015), Requirements Engineering for Data Warehouses.
[18]
M. Thenmozhi, K. Vivekanandan, G. Gayathree, (2013), A Semi-Automatic Approach to Handle Data Warehouse Schema Evolution using Ontology.
[19]
Sandro Bimonte, Jean-Pierre Chanet, Jacques Capdeville, Aurelie Tailleur, Marc Luciano, (2014), Une étude sur l'efficacité des méthodes de conception et d'implémentation pour les Entrepôts de Données par une méthodologie « requirement-based: Cas d'étude de la consommation d'énergie en agriculture
[20]
Said Taktak, Jamel Feki, Gilles Zurfluh, (2014), Modélisation des transformations pour l'évolution de modèles multidimensionnels.
[21]
Nesrine Chaibi, Mohamed Salah Gouider, (2013), Personalization and Recommendation of Queries in Multidimensional Database
[22]
Sangeeta Srivastava, (2014), Model Transformation Approach for a Goal Oriented Requirements Engineering based WebGRL to Design Models.
[23]
Dimitre Kostadinov Personnalisation de l'information et gestion des profils utilisateurs
[24]
Lucile Sautot, Sandro Bimonte, Ludovic Journaux, Bruno Faivre., (2015), Une nouvelle approche mixte d'enrichissement de dimensions dans un schéma multidimensionnel en constellation Application à la biodiversité des oiseaux. 11ème journées francophones sur les Entrepôts de Données et l'Analyse en ligne, Apr 2015, Bruxelles, Belgique.
[25]
Saida Aissi, Mohamed Salah Gouider, Tarek Sboui and Lamjed Ben Said, (2015), A spatial data warehouse recommendation approach: conceptual framework and evalution, Hum. Cent. Comput. Inf. Sci. 5:30
[26]
H. Jerbi, G. Pujolle, F. Ravat, O. Teste, Personnalisation de Systèmes OLAP Annotés, (2010), INFORSID, Marseille, France, 2-906855-25-1
[27]
Il. Yeol Song, Ritu Khare, and Bing Dai,. SAMSTAR: a semi-automated lexical methoexperimental evaluation, (2007), DOLAP07, Lisbon, Portugal, ACM 978-1-59593-827-5/07/0011
[28]
Fahmi Bargui, Hanene Ben-Abdallah, Jamel Feki, A natural language-based approach for a semi-automatic data mart design and ETL generation, (2016), Journal of Decision Systems, Volume 25, - Issue 4.
[29]
F. Ravat, O. Teste, G. Zurfluh; Personnalisation de bases de données multidimensionnelles, (2007), INFORSID, France. pp.231--247
[30]
M. Golfarelli, et, S. Rizzi,.Expressing OLAP Preferences? (2009), Int. Conf. on Scientific and Statistical Database Management (SSDBM), IEEE Computer Society, pages 83--91
[31]
A. Pretschner and S. Gauch, (1999). Personalization on the Web, Technical report, Information and Telecommunication Technology Center, Department of Electrical Engineering and Computer Science, The University of Kansas
[32]
A. Larbi. M. Malki, A. Benahmed, K. Boukhalfa, (2017), Modélisation de préférences à base de croyance du décideur, Conférence sur les Avancées des Systèmes Décisionnels (ASD 2017 Tunis) Proceeding, pp 11--17
Index Terms
- Requirements customized recommendation in a decision-making system
Recommendations
Queries-based requirements imprecision study for data warehouse update structural approach
ICIST '18: Proceedings of the 8th International Conference on Information Systems and TechnologiesDue to the increasing complexity of Data Warehouse (DW), continuous attention must be paid for evaluation of their quality throughout their design and development [1]. A good requirements model quality may lead to a good DW quality [2]. Various authors ...
Improving Decision Making by Means of a Marketing Decision Support System
Marketing decision makers are confronted with an increasing amount of information. This leads to a complex decision environment that may cause decision makers to lapse into using mental-effort-reducing heuristics such as anchoring and adjustment. In an ...
The design of AHPEC in web-based decision support system for making decision
AIC'10/BEBI'10: Proceedings of the 10th WSEAS international conference on applied informatics and communications, and 3rd WSEAS international conference on Biomedical electronics and biomedical informaticsThis paper presents the architecture of the WDSS using AHPEC for making decision. The WDSS-AHPEC involves client, user interface, server, web server, database, and DSS model. The DSS model in this study is using AHPEC method. In applying AHPEC, it ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
December 2018
201 pages
ISBN:9781450361019
DOI:10.1145/3330089
Copyright © 2018 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 26 December 2018
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICSENT 2018
ICSENT 2018: 7th International Conference on Software Engineering and New Technologies
December 26 - 28, 2018
Hammamet, Tunisia
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 46Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 02 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in