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Pratiques documentaires numériques à l'université / / Ghislaine Chartron, Benoît Epron, Annaïg Mahé
Pratiques documentaires numériques à l'université / / Ghislaine Chartron, Benoît Epron, Annaïg Mahé
Autore Beldiman-Moore Anita
Pubbl/distr/stampa Villeurbanne, : Presses de l’enssib, 2016
Descrizione fisica 1 online resource (226 p.)
Altri autori (Persone) BesterEmma
BruleyCaroline
DacosMarin
DerfoufiIlham
EpronBenoît
FryJenny
GalinaIsabel
Gentil-BeccotAnne
HuntingtonPaul
MahéAnnaïg
MerrienDelphine
PappaNikoleta
TerrasMelissa
WarwickClaire
WojciechowskaAnna
ChartronGhislaine
Soggetto topico Library, Information & Communication sciences
recherches documentaires
culture de l'information
bibliothèques
Internet
sciences
ressources internet
bibliothèques universitaires
Soggetto non controllato sciences
culture de l'information
recherches documentaires
bibliothèques
Internet
ressources internet
bibliothèques universitaires
ISBN 2-37546-051-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910214940303321
Beldiman-Moore Anita  
Villeurbanne, : Presses de l’enssib, 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recommender systems / / edited by Gérald Kembellec, Ghislaine Chartron, Imad Saleh
Recommender systems / / edited by Gérald Kembellec, Ghislaine Chartron, Imad Saleh
Pubbl/distr/stampa London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : John Wiley & Sons, , 2014
Descrizione fisica 1 online resource (253 p.)
Disciplina 001.64
Soggetto topico Recommender systems (Information filtering)
ISBN 1-119-05423-0
1-119-05425-7
1-119-05424-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Preface: Recommender Engines (and Systems); Acknowledgments; Bibliography; 1: General Introduction to Recommender Systems; 1.1. Putting it into perspective; 1.2. An interdisciplinary subject; 1.3. The fundamentals of algorithms; 1.3.1. Collaborative filtering; 1.3.1.1. Advantages and drawbacks of collaborative filtering; 1.3.2. Content filtering; 1.3.2.1. Advantages and drawbacks of content filtering; 1.3.3. Hybrid methods; 1.3.4. Conclusion on historical recommendation models; 1.4. Content offers and recommender systems
1.4.1. Culture and recommender systems1.4.1.1. Recommendation and cinema; 1.4.1.2. Recommendation and literature; 1.4.1.3. Recommendation and general culture; 1.4.2. Recommender systems and the e-commerce of content; 1.4.3. The behavior of users; 1.5. Current issues; 1.6. Bibliography; 2: Understanding Users' Expectations for Recommender Systems: the Case of Social Media; 2.1. Introduction: the omnipresence of recommender systems; 2.2. The social approach to prescription; 2.2.1. The theory of the prescription and online interactions; 2.2.2. Conditions for recognition of the prescription
2.2.3. The specificities of social media2.3. Users who do not focus on the prescriptions of platforms; 2.3.1. Facebook: the link, the type of activity and the context; 2.3.2. Twitter: prescription between peers and explanation of prescription; 2.3.3. Conditions for the recognition of a prescription: announcement and enunciation; 2.4. A guide for considering recommender systems adapted to different forms of social media; 2.5. Conclusion; 2.6. Bibliography; 3: Recommender Systems and Social Networks: What Are the Implications for Digital Marketing?
3.1. Social recommendations: an ancient practice revived by the digital age3.1.1. Recommendations: a difficult management for brands; 3.1.2. Internet recommendations: social presence and personalized recommendations; 3.2. Social recommendations: how are they used for e-commerce?; 3.2.1. Efficiency of recommender systems with regard to the performance of e-commerce websites; 3.2.2. Recommender systems used by social networks: from e-commerce to social commerce; 3.2.2.1. Facebook, innovator in its vision for social recommendation: Like, Edge Rank, Place, Social and Open Graph
3.2.2.2. Social recommendation, the cornerstone of an emerging social commerce3.3. Conclusion; 3.4. Bibliography; 4: Recommender Systems and Diversity: Taking Advantage of the Long Tail and the Diversity of Recommendation Lists; 4.1. The stakes associated with diversity within recommender systems; 4.1.1. Individual diversity or the individual perception of diversity; 4.1.2. The stakes and impacts of aggregate diversity; 4.1.2.1. Markets with limited resources; 4.1.2.2. Cultural diversity; 4.1.2.3. The long-tail economy: toward a more diverse consumption
4.2. Recommendation algorithms and diversity: trends, evaluation and optimization
Record Nr. UNINA-9910140488403321
London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : John Wiley & Sons, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recommender systems / / edited by Gérald Kembellec, Ghislaine Chartron, Imad Saleh
Recommender systems / / edited by Gérald Kembellec, Ghislaine Chartron, Imad Saleh
Pubbl/distr/stampa London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : John Wiley & Sons, , 2014
Descrizione fisica 1 online resource (253 p.)
Disciplina 001.64
Soggetto topico Recommender systems (Information filtering)
ISBN 1-119-05423-0
1-119-05425-7
1-119-05424-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Preface: Recommender Engines (and Systems); Acknowledgments; Bibliography; 1: General Introduction to Recommender Systems; 1.1. Putting it into perspective; 1.2. An interdisciplinary subject; 1.3. The fundamentals of algorithms; 1.3.1. Collaborative filtering; 1.3.1.1. Advantages and drawbacks of collaborative filtering; 1.3.2. Content filtering; 1.3.2.1. Advantages and drawbacks of content filtering; 1.3.3. Hybrid methods; 1.3.4. Conclusion on historical recommendation models; 1.4. Content offers and recommender systems
1.4.1. Culture and recommender systems1.4.1.1. Recommendation and cinema; 1.4.1.2. Recommendation and literature; 1.4.1.3. Recommendation and general culture; 1.4.2. Recommender systems and the e-commerce of content; 1.4.3. The behavior of users; 1.5. Current issues; 1.6. Bibliography; 2: Understanding Users' Expectations for Recommender Systems: the Case of Social Media; 2.1. Introduction: the omnipresence of recommender systems; 2.2. The social approach to prescription; 2.2.1. The theory of the prescription and online interactions; 2.2.2. Conditions for recognition of the prescription
2.2.3. The specificities of social media2.3. Users who do not focus on the prescriptions of platforms; 2.3.1. Facebook: the link, the type of activity and the context; 2.3.2. Twitter: prescription between peers and explanation of prescription; 2.3.3. Conditions for the recognition of a prescription: announcement and enunciation; 2.4. A guide for considering recommender systems adapted to different forms of social media; 2.5. Conclusion; 2.6. Bibliography; 3: Recommender Systems and Social Networks: What Are the Implications for Digital Marketing?
3.1. Social recommendations: an ancient practice revived by the digital age3.1.1. Recommendations: a difficult management for brands; 3.1.2. Internet recommendations: social presence and personalized recommendations; 3.2. Social recommendations: how are they used for e-commerce?; 3.2.1. Efficiency of recommender systems with regard to the performance of e-commerce websites; 3.2.2. Recommender systems used by social networks: from e-commerce to social commerce; 3.2.2.1. Facebook, innovator in its vision for social recommendation: Like, Edge Rank, Place, Social and Open Graph
3.2.2.2. Social recommendation, the cornerstone of an emerging social commerce3.3. Conclusion; 3.4. Bibliography; 4: Recommender Systems and Diversity: Taking Advantage of the Long Tail and the Diversity of Recommendation Lists; 4.1. The stakes associated with diversity within recommender systems; 4.1.1. Individual diversity or the individual perception of diversity; 4.1.2. The stakes and impacts of aggregate diversity; 4.1.2.1. Markets with limited resources; 4.1.2.2. Cultural diversity; 4.1.2.3. The long-tail economy: toward a more diverse consumption
4.2. Recommendation algorithms and diversity: trends, evaluation and optimization
Record Nr. UNINA-9910819990903321
London, [England] ; ; Hoboken, New Jersey : , : ISTE Limited : , : John Wiley & Sons, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
L’édition en sciences humaines et sociales : Enjeux et défis / / Étienne Anheim, Livia Foraison
L’édition en sciences humaines et sociales : Enjeux et défis / / Étienne Anheim, Livia Foraison
Autore Anheim Étienne
Pubbl/distr/stampa Paris, : Éditions de l’École des hautes études en sciences sociales, 2020
Descrizione fisica 1 online resource (400 p.)
Altri autori (Persone) ForaisonLivia
AnheimÉtienne
AuerbachBruno
BarthonnatCéline
BéchecMariannig Le
BergadaàMichelle
Boukacem-ZeghmouriChérifa
BoutouxIsabelle
ChartronGhislaine
ChevallierPhilippe
EpronBenoît
Galvez-BeharGabriel
GazierJulie
GinouvèsVéronique
GioanniStéphane
GouziFrançoise
GrasIsabelle
LabeyPauline
LaboulaisIsabelle
LavielleCharles-Henri
LeichtnamChristopher
MadelainAnne
MannoniOlivier
MichonCédric
MilardBéatrice
MonnetÉric
MounierPierre
NoëlSophie
NoucherMatthieu
ObadiaLionel
ParisotThomas
PéricaudSamuel
Prime-ClaverieÉmile Gayoso et Camille
ProchassonChristophe
RenoultDaniel
RuelleCharles
StérinAnne-Laure
Collana Cas de figure
Soggetto topico Library, Information & Communication sciences
numérique
édition
pratiques de lecture
diffusion
sciences humaines et sociales
modèles économiques
Soggetto non controllato numérique
édition
pratiques de lecture
diffusion
sciences humaines et sociales
modèles économiques
ISBN 2-7132-3178-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910495978103321
Anheim Étienne  
Paris, : Éditions de l’École des hautes études en sciences sociales, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui