@inproceedings{3f8a4dfb030a4bbf836a3f521fbd5320,
title = "Defining dimensions in expertise recommender systems for enhancing open collaborative innovation",
abstract = "In open innovation a firm's R\&D crosses not only internal boundaries but disciplines. It is an interactive process of knowledge generation and transfer between internal and external firms. Despite the assistance of open innovation marketplaces, the process of matching seekers and solvers remains a challenge. Expertise recommender systems in an open innovation marketplace can facilitate finding the 'right partner'. With this aim, a list of appropriated dimensions to be considered for the expertise recommender system are defined. An illustrative example is also provided.",
keywords = "expertise, open innovation, recommender system",
author = "J. Nguyen and A. Pereda and G. S{\'a}nchez-Hern{\'a}ndez and C. Angulo",
year = "2014",
doi = "10.3233/978-1-61499-452-7-285",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "285--288",
editor = "Lledo Museros and Oriol Pujol and Nuria Agell",
booktitle = "Artificial Intelligence Research and Development - Recent Advances and Applications",
address = "Netherlands",
note = "17th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2014 ; Conference date: 22-10-2014 Through 24-10-2014",
}