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Personalization techniques and recommender systems /
The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed. The book is the first of its kind, representing research efforts in the...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
World Scientific,
©2008.
|
| Colección: | Series in machine perception and artificial intelligence ;
v. 70. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Personalization techniques and recommender systems / |c editors, Gulden Uchyigit, Matthew Y. Ma. |
| 260 | |a Singapore : |b World Scientific, |c ©2008. | ||
| 300 | |a 1 online resource (x, 323 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Series in machine perception and artificial intelligence ; |v v. 70 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed. The book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services, | ||
| 505 | 0 | |a User modeling and profiling. 1. Personalization-privacy tradeoffs in adaptive information access / B. Smyth. 2. A deep evaluation of two cognitive user models for personalized search / F. Gasparetti and A. Micarelli. 3. Unobtrusive user modeling for adaptive hypermedia / H.J. Holz, K. Hofmann and C. Reed. 4. User modelling sharing for adaptive e-learning and intelligent help / K. Kabassi, M. Virvou and G.A. Tsihrintzis -- Collaborative filtering. 5. Experimental analysis of multiattribute utility collaborative filtering on a synthetic data set / N. Manouselis and C. Costopoulou. 6. Efficient collaborative filtering in content-addressable spaces / S. Berkovsky, Y. Eytani and L. Manevitz. 7. Identifying and analyzing user model information from collaborative filtering datasets / J. Griffith, C. O'Riordan and H. Sorensen -- Content-based systems, hybrid systems and machine learn-ing methods. 8. Personalization strategies and semantic reasoning: working in tandem in advanced recommender systems / Y. Blanco-Fernández et al. 9. Content classification and recommendation techniques for viewing electronic programming guide on a portable device / J. Zhu [and others]. 10. User acceptance of knowledge-based recommenders Alexander Felfernig and Erich Teppan / A. Felfernig, E. Teppan and B. Gula. 11. Using restricted random walks for library recommendations and knowledge space exploration / M. Franke and A. Geyer-Schulz. 12. An experimental study of feature selection methods for text classiffication / G. Uchyigit and K. Clark. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a User interfaces (Computer systems) | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 2 | |a User-Computer Interface | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 6 | |a Interfaces utilisateurs (Informatique) | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Mobile & Wireless Communications. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Radio. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a User interfaces (Computer systems) |2 fast | |
| 700 | 1 | |a Uchyigit, Gulden. | |
| 700 | 1 | |a Ma, Matthew Y. | |
| 758 | |i has work: |a Personalization techniques and recommender systems (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGCrmVFVCCBXkVBqmqbTpP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |z 9789812797018 |
| 830 | 0 | |a Series in machine perception and artificial intelligence ; |v v. 70. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1679488 |z Texto completo |
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