Verfügbarkeit: Social web artifacts for boosting recommenders

Social web artifacts for boosting recommenders: theory and implementation

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Bibliographische Detailangaben
1. Verfasser:	Ziegler, Cai-Nicolas 1977- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Heidelberg [u.a.] Springer 2013
Schriftenreihe:	Studies in computational intelligence 487 BV020822171
Schlagworte:	Ingenieurwissenschaften Künstliche Intelligenz Data mining Artificial intelligence Engineering Soziales Netzwerk Empfehlungssystem Klassifikation
Online-Zugang:	DE-634 DE-Aug4 DE-573 DE-92 DE-898 DE-859 DE-863 DE-706 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	1 Online-Ressource
ISBN:	9783319005270
DOI:	10.1007/978-3-319-00527-0

Internformat

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Datensatz im Suchindex

DE-BY-FWS_katkey	923357
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adam_text	SOCIAL WEB ARTIFACTS FOR BOOSTING RECOMMENDERS / ZIEGLER, CAI-NICOLAS : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS PART I LAYING FOUNDATIONS PART II USE OF TAXONOMIC KNOWLEDGE PART III SOCIAL TIES AND TRUST PART IV AMALGAMATING TAXONOMIES AND TRUST DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. SOCIAL WEB ARTIFACTS FOR BOOSTING RECOMMENDERS / ZIEGLER, CAI-NICOLAS : 2013 ABSTRACT / INHALTSTEXT RECOMMENDER SYSTEMS, SOFTWARE PROGRAMS THAT LEARN FROM HUMAN BEHAVIOR AND MAKE PREDICTIONS OF WHAT PRODUCTS WE ARE EXPECTED TO APPRECIATE AND PURCHASE, HAVE BECOME AN INTEGRAL PART OF OUR EVERYDAY LIFE. THEY PROLIFERATE ACROSS ELECTRONIC COMMERCE AROUND THE GLOBE AND EXIST FOR VIRTUALLY ALL SORTS OF CONSUMABLE GOODS, SUCH AS BOOKS, MOVIES, MUSIC, OR CLOTHES. AT THE SAME TIME, A NEW EVOLUTION ON THE WEB HAS STARTED TO TAKE SHAPE, COMMONLY KNOWN AS THE “WEB 2.0” OR THE “SOCIAL WEB”: CONSUMER-GENERATED MEDIA HAS BECOME RIFE, SOCIAL NETWORKS HAVE EMERGED AND ARE PULLING SIGNIFICANT SHARES OF WEB TRAFFIC. IN LINE WITH THESE DEVELOPMENTS, NOVEL INFORMATION AND KNOWLEDGE ARTIFACTS HAVE BECOME READILY AVAILABLE ON THE WEB, CREATED BY THE COLLECTIVE EFFORT OF MILLIONS OF PEOPLE. THIS TEXTBOOK PRESENTS APPROACHES TO EXPLOIT THE NEW SOCIAL WEB FOUNTAIN OF KNOWLEDGE, ZEROING IN FIRST AND FOREMOST ON TWO OF THOSE INFORMATION ARTIFACTS, NAMELY CLASSIFICATION TAXONOMIES AND TRUST NETWORKS. THESE TWO ARE USED TO IMPROVE THE PERFORMANCE OF PRODUCT-FOCUSED RECOMMENDER SYSTEMS: WHILE CLASSIFICATION TAXONOMIES ARE APPROPRIATE MEANS TO FIGHT THE SPARSITY PROBLEM PREVALENT IN MANY PRODUCTIVE RECOMMENDER SYSTEMS, INTERPERSONAL TRUST TIES – WHEN USED AS PROXIES FOR INTEREST SIMILARITY – ARE ABLE TO MITIGATE THE RECOMMENDERS' SCALABILITY PROBLEM DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
any_adam_object	1
author	Ziegler, Cai-Nicolas 1977-
author_GND	(DE-588)130088382
author_facet	Ziegler, Cai-Nicolas 1977-
author_role	aut
author_sort	Ziegler, Cai-Nicolas 1977-
author_variant	c n z cnz
building	Verbundindex
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collection	ZDB-2-ENG
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dewey-full	006.3
dewey-hundreds	000 - Computer science, information, general works
dewey-ones	006 - Special computer methods
dewey-raw	006.3
dewey-search	006.3
dewey-sort	16.3
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
doi_str_mv	10.1007/978-3-319-00527-0
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indexdate	2024-12-29T04:03:55Z
institution	BVB
isbn	9783319005270
language	English
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series2	Studies in computational intelligence BV020822171
spellingShingle	Ziegler, Cai-Nicolas 1977- Social web artifacts for boosting recommenders theory and implementation Ingenieurwissenschaften Künstliche Intelligenz Data mining Artificial intelligence Engineering Soziales Netzwerk (DE-588)4055762-5 gnd Empfehlungssystem (DE-588)7511891-9 gnd Klassifikation (DE-588)4030958-7 gnd
subject_GND	(DE-588)4055762-5 (DE-588)7511891-9 (DE-588)4030958-7
title	Social web artifacts for boosting recommenders theory and implementation
title_auth	Social web artifacts for boosting recommenders theory and implementation
title_exact_search	Social web artifacts for boosting recommenders theory and implementation
title_full	Social web artifacts for boosting recommenders theory and implementation Cai-Nicolas Ziegler
title_fullStr	Social web artifacts for boosting recommenders theory and implementation Cai-Nicolas Ziegler
title_full_unstemmed	Social web artifacts for boosting recommenders theory and implementation Cai-Nicolas Ziegler
title_short	Social web artifacts for boosting recommenders
title_sort	social web artifacts for boosting recommenders theory and implementation
title_sub	theory and implementation
topic	Ingenieurwissenschaften Künstliche Intelligenz Data mining Artificial intelligence Engineering Soziales Netzwerk (DE-588)4055762-5 gnd Empfehlungssystem (DE-588)7511891-9 gnd Klassifikation (DE-588)4030958-7 gnd
topic_facet	Ingenieurwissenschaften Künstliche Intelligenz Data mining Artificial intelligence Engineering Soziales Netzwerk Empfehlungssystem Klassifikation
url	https://doi.org/10.1007/978-3-319-00527-0 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026037378&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026037378&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT zieglercainicolas socialwebartifactsforboostingrecommenderstheoryandimplementation

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