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Software de evaluación colaborativo

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOES20160620001
Publicado:
20/07/2016
Caducidad:
20/07/2017
Resumen:
Una institución pública española ha desarrollado una herramienta de apoyo al desarrollo de software para evaluar la confianza en comunidades online. Este sistema recomienda las evaluaciones comparando los análisis de los expertos sobre el objeto de evaluación con el análisis de los usuarios. Se buscan empresas para explotar el software mediante acuerdos de servicio o licencia, desarrollar revisiones entre pares, aprendizaje colaborativo, plataformas de gestión de recursos humanos, sistemas de recomendación de productos, etc.

Details

Tittle:
Collaborative assessment software
Summary:
A Spanish public institution has developed a software support tool for trust assessment in online communities. The system recommends the assessments by weighting the expert´s assessments, along with other user´s assessments over the object of evaluation.
Companies are been sought to exploit this software under a services or license agreement, to develop peer reviews, collaborative learning, human resource management platforms, product recommender systems, etc.
Description:
The component addresses the problem of such environments where the evaluation of a large number of objects is needed. For example, in the case of a teacher in a Massive Open Online Course (MOOCs), a coordinator of a large conference who needs to decide what the final evaluations of the articles reviewed are, or a buyer in an e-commerce site who needs to form an opinion of the products offered.

Sometimes the task is simply not possible and it is necessary to trust in the opinion from others. This component implements an algorithm that uses the assessments made by members of an online community to approximate the evaluation given by another specific member of that community, the "leader" (teacher, coordinator, buyer, etc.), taking into account the confidence relationship between him and the members.

Comparisons made with a commercial software for content recommendations (collaborative filtering) shows that the recommendations counting towards the opinion of a specific member is biased and does not take benefit of the relationships between the leader and third parties (indirect trust). The present model proposes an alternative solution by approaching this unknown confidence between the leader and the community member, by observing the confidence that this member has with third parties, which ultimately, is related to the leader.
Advantages and Innovations:
- Increased number of automatic evaluations with less margin of error.
- The component is a JAVA library with an API to be easily integrated in others applications.
- Two implementations models:
- Implementation 1: the confidence calculation is based on a
graph of confidence.
- Implementation 2: the confidence is represented as
probability distributions and an artificial intelligence algorithm
calculates it.
Stage of Development:
Field tested/evaluated
IPs:
Other
CommeR Statunts Regarding IPR Status:
Spanish notarial register has been made.

Partner sought

Type and Role of Partner Sought:
Industrial and/or academic partner interested in exploiting the technology for development of collaboration solutions on:
- peer reviews
- collaborative learning in formal or informal environment
- human resource management platforms
- product recommender systems

Client

Type and Size of Client:
R&D Institution
Already Engaged in Trans-National Cooperation:
No
Languages Spoken:
English
Spanish

Keywords

Technology Keywords:
01003003 Artificial Intelligence (AI)
01003006 Computer Software
01003015 Gestión de conocimiento, gestión de procesos