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1. |
Record Nr. |
UNINA9910961741203321 |
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Autore |
Kamvar Sep <1977-> |
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Titolo |
Numerical algorithms for personalized search in self-organizing information networks / / Sep Kamvar |
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Pubbl/distr/stampa |
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Princeton, N.J., : Princeton University Press, 2010 |
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ISBN |
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9786612665844 |
9781282665842 |
1282665847 |
9781400837069 |
1400837065 |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (295 p.) |
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Disciplina |
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Soggetti |
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Database searching - Mathematics |
Information networks - Mathematics |
Content analysis (Communication) - Mathematics |
Self-organizing systems - Data processing |
Algorithms |
Internet searching - Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Frontmatter -- Contents -- Tables -- Figures -- Acknowledgments -- Chapter One. Introduction -- PART I. World Wide Web -- Chapter Two. PageRank -- Chapter Three. The Second Eigenvalue of the Google Matrix -- Chapter Four. The Condition Number of the PageRank Problem -- Chapter Five. Extrapolation Algorithms -- Chapter Six. Adaptive PageRank -- Chapter Seven. BlockRank -- PART II. P2P Networks -- Chapter Eight. Query-Cycle Simulator -- Chapter Nine. Eigen Trust -- Chapter Ten. Adaptive P2P Topologies -- Chapter Eleven. Conclusion -- Bibliography |
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Sommario/riassunto |
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This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks. Representing much of the foundational research in this field, the book develops scalable algorithms that exploit the graphlike |
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properties underlying personalized search and reputation management, and delves into realistic scenarios regarding Web-scale data. Sep Kamvar focuses on eigenvector-based techniques in Web search, introducing a personalized variant of Google's PageRank algorithm, and he outlines algorithms--such as the now-famous quadratic extrapolation technique--that speed up computation, making personalized PageRank feasible. Kamvar suggests that Power Method-related techniques ultimately should be the basis for improving the PageRank algorithm, and he presents algorithms that exploit the convergence behavior of individual components of the PageRank vector. Kamvar then extends the ideas of reputation management and personalized search to distributed networks like peer-to-peer and social networks. He highlights locality and computational considerations related to the structure of the network, and considers such unique issues as malicious peers. He describes the EigenTrust algorithm and applies various PageRank concepts to P2P settings. Discussion chapters summarizing results conclude the book's two main sections. Clear and thorough, this book provides an authoritative look at central innovations in search for all of those interested in the subject. |
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2. |
Record Nr. |
UNINA9910726274303321 |
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Autore |
Gázquez Abad Juan Carlos |
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Titolo |
Advances in National Brand and Private Label Marketing : 10th International Conference, 2023 / / edited by Juan Carlos Gázquez-Abad, Francisco J. Martínez-López, Katrijn Gielens |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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9783031328947 |
9783031328930 |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (156 pages) |
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Collana |
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Springer Proceedings in Business and Economics, , 2198-7254 |
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Altri autori (Persone) |
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Martínez-LópezFrancisco J |
GielensKatrijn |
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Disciplina |
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Soggetti |
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Branding (Marketing) |
Ethnopsychology |
Customer relations - Management |
Branding |
Cross-Cultural Psychology |
Customer Relationship Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The 2023 International Conference on National Brand & Private Label Marketing is a unique academic forum to present and discuss original, rigorous, and significant contributions from researchers around the world on marketing issues facing retailers, store brand managers and national brand managers. The two-day event covered a wide range of topics from varied fields including retailing, marketing, general business, psychology, economics and statistics. The conference addressed diverse areas of application such as branding strategies, innovation in private labels, private label consumers, customer databases, Covid-19 consequences, loyalty programs, sustainability, and online grocery retailing, among others. A wide variety of theoretical and methodological approached have been used in these areas. This volume presents the proceedings of this 2023 NB&PL marketing |
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conference in a collection of original, rigorous, and relevant contributions. |
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