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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|