Using Association Rules to Learn Users' Assistance Requirements
- Autores
- Schiaffino, Silvia; Amandi, Analía
- Año de publicación
- 2004
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Interface agents are computer programs that learn users' preferences to provide them personalized assistance with their computer-based tasks. In order to personalize the interaction with users, interface agents must learn how to best interact with each user and how to provide them assistance of the right sort at the right time. Particularly, an interface agent has to discover when the user needs a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action and when he wants the agent to do just nothing. In this work we propose a learning algorithm, named WATSON, to tackle this problem. The WATSON algorithm enables an interface agent to adapt its behavior and its interaction with a user to the user's assistance requirements. Our algorithm uses association rules (AR) to discover associations among problem situations and a user's assistance requirements in a given application domain.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
interface agents
user profiling
Association rules - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/135309
Ver los metadatos del registro completo
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Using Association Rules to Learn Users' Assistance RequirementsSchiaffino, SilviaAmandi, AnalíaCiencias Informáticasinterface agentsuser profilingAssociation rulesInterface agents are computer programs that learn users' preferences to provide them personalized assistance with their computer-based tasks. In order to personalize the interaction with users, interface agents must learn how to best interact with each user and how to provide them assistance of the right sort at the right time. Particularly, an interface agent has to discover when the user needs a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action and when he wants the agent to do just nothing. In this work we propose a learning algorithm, named WATSON, to tackle this problem. The WATSON algorithm enables an interface agent to adapt its behavior and its interaction with a user to the user's assistance requirements. Our algorithm uses association rules (AR) to discover associations among problem situations and a user's assistance requirements in a given application domain.Sociedad Argentina de Informática e Investigación Operativa2004-06-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf12-20http://sedici.unlp.edu.ar/handle/10915/135309enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/100info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:34:01Zoai:sedici.unlp.edu.ar:10915/135309Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:34:01.689SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Using Association Rules to Learn Users' Assistance Requirements |
| title |
Using Association Rules to Learn Users' Assistance Requirements |
| spellingShingle |
Using Association Rules to Learn Users' Assistance Requirements Schiaffino, Silvia Ciencias Informáticas interface agents user profiling Association rules |
| title_short |
Using Association Rules to Learn Users' Assistance Requirements |
| title_full |
Using Association Rules to Learn Users' Assistance Requirements |
| title_fullStr |
Using Association Rules to Learn Users' Assistance Requirements |
| title_full_unstemmed |
Using Association Rules to Learn Users' Assistance Requirements |
| title_sort |
Using Association Rules to Learn Users' Assistance Requirements |
| dc.creator.none.fl_str_mv |
Schiaffino, Silvia Amandi, Analía |
| author |
Schiaffino, Silvia |
| author_facet |
Schiaffino, Silvia Amandi, Analía |
| author_role |
author |
| author2 |
Amandi, Analía |
| author2_role |
author |
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Ciencias Informáticas interface agents user profiling Association rules |
| topic |
Ciencias Informáticas interface agents user profiling Association rules |
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Interface agents are computer programs that learn users' preferences to provide them personalized assistance with their computer-based tasks. In order to personalize the interaction with users, interface agents must learn how to best interact with each user and how to provide them assistance of the right sort at the right time. Particularly, an interface agent has to discover when the user needs a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action and when he wants the agent to do just nothing. In this work we propose a learning algorithm, named WATSON, to tackle this problem. The WATSON algorithm enables an interface agent to adapt its behavior and its interaction with a user to the user's assistance requirements. Our algorithm uses association rules (AR) to discover associations among problem situations and a user's assistance requirements in a given application domain. Sociedad Argentina de Informática e Investigación Operativa |
| description |
Interface agents are computer programs that learn users' preferences to provide them personalized assistance with their computer-based tasks. In order to personalize the interaction with users, interface agents must learn how to best interact with each user and how to provide them assistance of the right sort at the right time. Particularly, an interface agent has to discover when the user needs a suggestion to solve a problem, when he requires only a warning about it, when he wants the agent to execute an action and when he wants the agent to do just nothing. In this work we propose a learning algorithm, named WATSON, to tackle this problem. The WATSON algorithm enables an interface agent to adapt its behavior and its interaction with a user to the user's assistance requirements. Our algorithm uses association rules (AR) to discover associations among problem situations and a user's assistance requirements in a given application domain. |
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2004 |
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2004-06-26 |
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