Human or automatic answers? A user's based study

Cristina González-Caro, Mari Carmen Marcos, Ricardo Baeza-Yates, Liliana Calderón-Benavides

Resultado de la investigación: Libro / Capitulo del libro / InformeLibros de Investigaciónrevisión exhaustiva

Resumen

Understanding the different ways of the informationseeking behavior of users, and their implications is an important challenge of Web Information Services. In this paper we examine the suitability of Web Search Engines (SE) and Community Question-Answering (community QA) to satisfy the different expectations of users: queries expecting knowledge-based answers, and queries expecting subjective opinion-based answers. From this categorization, we conducted a user study of the results obtained from three Web SE, and three Communities QA. In this way, we found that SE result in a better alternative when the query is designed to get a uni-objective answer, while communities QA provide better results if the question gets multi-objective answers. On the other hand, when the query expects a subjective answer, none of these systems provides a very effective answer that can fulfill the expectations from the user. Knowing more about the type of queries that require human support would be useful to improve the user search experience in SE.

Idioma originalInglés
Título de la publicación alojadaProceedings of the Latin American Web Conference, LA-WEB 2008
Páginas101-107
Número de páginas7
DOI
EstadoPublicada - 2008
Publicado de forma externa
EventoLatin American Web Conference, LA-WEB 2008 - Vila Velha, Espirito Santo, Brasil
Duración: 28 oct. 200830 oct. 2008

Serie de la publicación

NombreProceedings of the Latin American Web Conference, LA-WEB 2008

Conferencia

ConferenciaLatin American Web Conference, LA-WEB 2008
País/TerritorioBrasil
CiudadVila Velha, Espirito Santo
Período28/10/0830/10/08

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