Recommender systems: advanced developments
"Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific
2020
|
| Schriftenreihe: | Intelligent information systems
v. 6 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more. This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems - basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications. By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems"--Publisher's website |
| Beschreibung: | 1 Online-Ressource (xxii, 339 Seiten) |
| ISBN: | 9789811224638 |
Internformat
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| 490 | 0 | |a Intelligent information systems |v v. 6 | |
| 520 | |a "Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more. This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems - basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications. By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems"--Publisher's website | ||
| 650 | 4 | |a Recommender systems (Information filtering) | |
| 650 | 4 | |a Personal communication service systems | |
| 700 | 1 | |a Zhang, Qian |e Sonstige |4 oth | |
| 700 | 1 | |a Zhang, Guangquan |e Sonstige |4 oth | |
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Datensatz im Suchindex
| _version_ | 1804182171224637440 |
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| adam_txt | |
| any_adam_object | |
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| author | Lu, Jie |
| author_facet | Lu, Jie |
| author_role | aut |
| author_sort | Lu, Jie |
| author_variant | j l jl |
| building | Verbundindex |
| bvnumber | BV047124423 |
| collection | ZDB-124-WOP |
| ctrlnum | (ZDB-124-WOP)00011947 (OCoLC)1237590519 (DE-599)BVBBV047124423 |
| dewey-full | 006.33 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.33 |
| dewey-search | 006.33 |
| dewey-sort | 16.33 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:30:25Z |
| indexdate | 2024-07-10T09:03:18Z |
| institution | BVB |
| isbn | 9789811224638 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032530663 |
| oclc_num | 1237590519 |
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| physical | 1 Online-Ressource (xxii, 339 Seiten) |
| psigel | ZDB-124-WOP |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | World Scientific |
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| series2 | Intelligent information systems |
| spelling | Lu, Jie Verfasser aut Recommender systems advanced developments by Jie Lu, Qian Zhang, Guangquan Zhang Singapore World Scientific 2020 1 Online-Ressource (xxii, 339 Seiten) txt rdacontent c rdamedia cr rdacarrier Intelligent information systems v. 6 "Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more. This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems - basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications. By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems"--Publisher's website Recommender systems (Information filtering) Personal communication service systems Zhang, Qian Sonstige oth Zhang, Guangquan Sonstige oth https://www.worldscientific.com/worldscibooks/10.1142/11947#t=toc Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Lu, Jie Recommender systems advanced developments Recommender systems (Information filtering) Personal communication service systems |
| title | Recommender systems advanced developments |
| title_auth | Recommender systems advanced developments |
| title_exact_search | Recommender systems advanced developments |
| title_exact_search_txtP | Recommender systems advanced developments |
| title_full | Recommender systems advanced developments by Jie Lu, Qian Zhang, Guangquan Zhang |
| title_fullStr | Recommender systems advanced developments by Jie Lu, Qian Zhang, Guangquan Zhang |
| title_full_unstemmed | Recommender systems advanced developments by Jie Lu, Qian Zhang, Guangquan Zhang |
| title_short | Recommender systems |
| title_sort | recommender systems advanced developments |
| title_sub | advanced developments |
| topic | Recommender systems (Information filtering) Personal communication service systems |
| topic_facet | Recommender systems (Information filtering) Personal communication service systems |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11947#t=toc |
| work_keys_str_mv | AT lujie recommendersystemsadvanceddevelopments AT zhangqian recommendersystemsadvanceddevelopments AT zhangguangquan recommendersystemsadvanceddevelopments |