InnoJam: A Web 2.0 discussion platform featuring a recommender system
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099.1/8554
Tipus de documentProjecte Final de Màster Oficial
Data2010-01
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
In this Master Thesis we have designed, implemented and evaluated a Web 2.0
platform for massive online-discussion, inspired by Innovation Jams.
Innovation Jams, the original initiative from IBM, has proven to be successful at
bringing together vast amounts of people, capturing their untapped knowledge and, while
the participants are discussing, gather useful insights for a companyʼs innovation strategy
[Spangler et al. 2006, Bjelland and Chapman Wood 2008].
Our approach, based in an open-source forum system, features visualization
techniques and a recommender system in order to provide the participants in the Jam with
useful insights and interesting discussion recommendations for an improved participation.
A theoretical introduction and a state-of-the-art survey in recommender systems has
been gathered in order to frame and support the design of the hybrid recommender
system [Burke 2002], composed by a content-based and a collaborative filtering
recommenders, developed for InnoJam.
TitulacióMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2009)
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
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MSonsona_MasterThesis.pdf | 2,399Mb | Visualitza/Obre |