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Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining / / edited by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir
| Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining / / edited by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (282 pages) |
| Disciplina | 158.2 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Social sciences—Data processing
Social sciences—Computer programs Data mining Sociophysics Econophysics Application software Computational Social Sciences Data Mining and Knowledge Discovery Data-driven Science, Modeling and Theory Building Computer Appl. in Social and Behavioral Sciences |
| ISBN | 3-319-94105-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1: Intent Mining for the Good, Bad & Ugly Use of Social Web: Concepts, Methods, and Challenges -- Chapter2: Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics -- Chapter3: Studying Fake News via Network Analysis: Detection and Mitigation -- Chapter4: Predictive Analysis on Twitter: Techniques and Applications -- Chapter5: Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models -- Chapter6: Towards Effective Assessment of Group Collaborations in OSNs -- Chapter7: Dynamics of Overlapping Community Structures with Application to Expert Identification -- Chapter8: On Dynamic Topic Models for Mining Social Media -- Chapter9: Domain Specific Use Cases for Knowledge Enabled Social Media Analysis -- Chapter10: Privacy in Human Computation: User awareness study, Implications for existing platforms, Recommendations, and Research Directions. |
| Record Nr. | UNINA-9910337716403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fashion recommender systems / / edited by Nima Dokoohaki
| Fashion recommender systems / / edited by Nima Dokoohaki |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (VII, 145 p. 64 illus., 44 illus. in color.) |
| Disciplina | 004.019 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Fashion merchandising - Data processing
Human-computer interaction Recommender systems (Information filtering) |
| ISBN | 3-030-55218-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1. Cold Start in Recommendations -- Chapter 1. Fashion Recommender Systems in Cold Start ( Mehdi Elahi) -- Part 2. Complementary and Session Based Recommendation -- Chapter 2. Enabling Hyper-Personalisation: Automated AdCreative Generation and Ranking for Fashion e-Commerce (Sreekanth Vempati) -- Chapter 3. Two-Stage Session-based Recommendations with Candidate Rank Embeddings (Jose Antonio Sanchez Rodrguez) -- Part 3. Outfit Recommendations -- Chapter 4. Attention-based Fusion for Outfit Recommendation (Katrien Laenen) -- Chapter 5. Outfit2Vec: Incorporating Clothing Hierarchical MetaData into Outfits’ Recommendation (Shatha Jaradat) -- Part 4. Sizing and Fit Recommendations -- Chapter 6. Learning Size and Fit from Fashion Images (Nour Karessli) -- Part 5. Generative Outfit Recommendation -- Chapter 7. Generating High-Resolution Fashion Model Images Wearing Custom Outfits (Gokhan Yildirim). |
| Record Nr. | UNINA-9910484596403321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Fashion recommender systems / / edited by Nima Dokoohaki
| Fashion recommender systems / / edited by Nima Dokoohaki |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (VII, 145 p. 64 illus., 44 illus. in color.) |
| Disciplina | 004.019 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Fashion merchandising - Data processing
Human-computer interaction Recommender systems (Information filtering) |
| ISBN | 3-030-55218-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1. Cold Start in Recommendations -- Chapter 1. Fashion Recommender Systems in Cold Start ( Mehdi Elahi) -- Part 2. Complementary and Session Based Recommendation -- Chapter 2. Enabling Hyper-Personalisation: Automated AdCreative Generation and Ranking for Fashion e-Commerce (Sreekanth Vempati) -- Chapter 3. Two-Stage Session-based Recommendations with Candidate Rank Embeddings (Jose Antonio Sanchez Rodrguez) -- Part 3. Outfit Recommendations -- Chapter 4. Attention-based Fusion for Outfit Recommendation (Katrien Laenen) -- Chapter 5. Outfit2Vec: Incorporating Clothing Hierarchical MetaData into Outfits’ Recommendation (Shatha Jaradat) -- Part 4. Sizing and Fit Recommendations -- Chapter 6. Learning Size and Fit from Fashion Images (Nour Karessli) -- Part 5. Generative Outfit Recommendation -- Chapter 7. Generating High-Resolution Fashion Model Images Wearing Custom Outfits (Gokhan Yildirim). |
| Record Nr. | UNISA-996418198003316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Recommender systems in fashion and retail : proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, [and three others]
| Recommender systems in fashion and retail : proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (116 pages) |
| Disciplina | 005.56 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Recommender systems (Information filtering) |
| ISBN | 3-030-94016-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464453403316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Recommender systems in fashion and retail : proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, [and three others]
| Recommender systems in fashion and retail : proceedings of the Third Workshop at the Recommender Systems Conference (2021) / / edited by Nima Dokoohaki, [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (116 pages) |
| Disciplina | 005.56 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico | Recommender systems (Information filtering) |
| ISBN | 3-030-94016-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910551842603321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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