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...
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2008
|
| Schlagworte: | |
| Online-Zugang: | FHN01 Volltext |
| Zusammenfassung: | 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, to library and personalized TV recommendation systems. This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems |
| Beschreibung: | x, 323 p. ill. (some col.) |
| ISBN: | 9812797025 9789812797025 |
Internformat
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| 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, to library and personalized TV recommendation systems. This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems | ||
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| isbn | 9812797025 9789812797025 |
| language | English |
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| spelling | Personalization techniques and recommender systems editors, Gulden Uchyigit, Matthew Y. Ma Singapore World Scientific Pub. Co. c2008 x, 323 p. ill. (some col.) txt rdacontent c rdamedia cr rdacarrier 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, to library and personalized TV recommendation systems. This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems Personal communication service systems Recommender systems (Information filtering) Wireless communication systems Empfehlungssystem (DE-588)7511891-9 gnd rswk-swf Kollaborative Filterung (DE-588)7512839-1 gnd rswk-swf Informationsfilterung (DE-588)4807493-7 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 2005 Reading gnd-content Informationsfilterung (DE-588)4807493-7 s Kollaborative Filterung (DE-588)7512839-1 s Empfehlungssystem (DE-588)7511891-9 s 2\p DE-604 Uchyigit, G. Sonstige oth Ma, M. Y. Sonstige oth http://www.worldscientific.com/worldscibooks/10.1142/6788#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Personalization techniques and recommender systems Personal communication service systems Recommender systems (Information filtering) Wireless communication systems Empfehlungssystem (DE-588)7511891-9 gnd Kollaborative Filterung (DE-588)7512839-1 gnd Informationsfilterung (DE-588)4807493-7 gnd |
| subject_GND | (DE-588)7511891-9 (DE-588)7512839-1 (DE-588)4807493-7 (DE-588)1071861417 |
| title | Personalization techniques and recommender systems |
| title_auth | Personalization techniques and recommender systems |
| title_exact_search | Personalization techniques and recommender systems |
| title_full | Personalization techniques and recommender systems editors, Gulden Uchyigit, Matthew Y. Ma |
| title_fullStr | Personalization techniques and recommender systems editors, Gulden Uchyigit, Matthew Y. Ma |
| title_full_unstemmed | Personalization techniques and recommender systems editors, Gulden Uchyigit, Matthew Y. Ma |
| title_short | Personalization techniques and recommender systems |
| title_sort | personalization techniques and recommender systems |
| topic | Personal communication service systems Recommender systems (Information filtering) Wireless communication systems Empfehlungssystem (DE-588)7511891-9 gnd Kollaborative Filterung (DE-588)7512839-1 gnd Informationsfilterung (DE-588)4807493-7 gnd |
| topic_facet | Personal communication service systems Recommender systems (Information filtering) Wireless communication systems Empfehlungssystem Kollaborative Filterung Informationsfilterung Konferenzschrift 2005 Reading |
| url | http://www.worldscientific.com/worldscibooks/10.1142/6788#t=toc |
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