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Towards trust-aware recommendations in social networks
dc.contributor | Gavaldà Mestre, Ricard |
dc.contributor.author | Lumbreras Carrasco, Alberto |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2012-07-19T14:03:27Z |
dc.date.available | 2012-07-19T14:03:27Z |
dc.date.issued | 2012-06 |
dc.identifier.uri | http://hdl.handle.net/2099.1/15837 |
dc.description.abstract | Recommender systems have been strongly researched within the last decade. With the emergence and popularization of social networks a new fi eld has been opened for social recommendations. Introducing new concepts such as trust and considering the network topology are some of the new strategies that recommender systems have to take into account in order to adapt their techniques to these new scenarios. In this thesis a simple model for recommendations on twitter is developed to apply some of the known techniques and explore how well the state of the art does in a real scenario. The thesis can serve as a basis for further social recommender system research. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Agents intel·ligents |
dc.subject.lcsh | Online social networks |
dc.subject.lcsh | Recommender systems (Information filtering) |
dc.title | Towards trust-aware recommendations in social networks |
dc.type | Master thesis |
dc.subject.lemac | Xarxes socials en línia |
dc.subject.lemac | Agents intel·ligents |
dc.rights.access | Open Access |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2009) |