Verfügbarkeit: Recommender systems and the social web

Recommender systems and the social web: leveraging tagging data for recommender systems

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Bibliographische Detailangaben
1. Verfasser:	Gedikli, Fatih (VerfasserIn)
Format:	Abschlussarbeit Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Wiesbaden Springer 2013
Schlagworte:	Social Tagging Empfehlungssystem Hochschulschrift
Online-Zugang:	BTU01 FHA01 FHM01 FHN01 FKE01 UBG01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	1 Online-Ressource
ISBN:	9783658019471 9783658019488
DOI:	10.1007/978-3-658-01948-8

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Datensatz im Suchindex

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adam_text	RECOMMENDER SYSTEMS AND THE SOCIAL WEB / GEDIKLI, FATIH : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS RECOMMENDER SYSTEMS SOCIAL TAGGING ALGORITHMS EXPLANATIONS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. RECOMMENDER SYSTEMS AND THE SOCIAL WEB / GEDIKLI, FATIH : 2013 ABSTRACT / INHALTSTEXT THERE IS AN INCREASING DEMAND FOR RECOMMENDER SYSTEMS DUE TO THE INFORMATION OVERLOAD USERS ARE FACING ON THE WEB. THE GOAL OF A RECOMMENDER SYSTEM IS TO PROVIDE PERSONALIZED RECOMMENDATIONS OF PRODUCTS OR SERVICES TO USERS. WITH THE ADVENT OF THE SOCIAL WEB, USER-GENERATED CONTENT HAS ENRICHED THE SOCIAL DIMENSION OF THE WEB. AS USER-PROVIDED CONTENT DATA ALSO TELLS US SOMETHING ABOUT THE USER, ONE CAN LEARN THE USER’S INDIVIDUAL PREFERENCES FROM THE SOCIAL WEB. THIS OPENS UP COMPLETELY NEW OPPORTUNITIES AND CHALLENGES FOR RECOMMENDER SYSTEMS RESEARCH. FATIH GEDIKLI DEALS WITH THE QUESTION OF HOW USER-PROVIDED TAGGING DATA CAN BE USED TO BUILD BETTER RECOMMENDER SYSTEMS. A TAG RECOMMENDER ALGORITHM IS PROPOSED WHICH RECOMMENDS TAGS FOR USERS TO ANNOTATE THEIR FAVORITE ONLINE RESOURCES. THE AUTHOR ALSO PROPOSES ALGORITHMS WHICH EXPLOIT THE USER-PROVIDED TAGGING DATA AND PRODUCE MORE ACCURATE RECOMMENDATIONS. ON THE BASIS OF THIS IDEA, HE SHOWS HOW TAGS CAN BE USED TO EXPLAIN TO THE USER THE AUTOMATICALLY GENERATED RECOMMENDATIONS IN A CLEAR AND INTUITIVELY UNDERSTANDABLE FORM. WITH HIS BOOK, FATIH GEDIKLI GIVES US AN OUTLOOK ON THE NEXT GENERATION OF RECOMMENDATION SYSTEMS IN THE SOCIAL WEB SPHERE. CONTENTS - RECOMMENDER SYSTEMS - SOCIAL TAGGING - ALGORITHMS - EXPLANATIONS TARGET GROUPS RESEARCHERS AND STUDENTS OF COMPUTER SCIENCE COMPUTER AND WEB PROGRAMMERS THE AUTHOR DR. FATIH GEDIKLI IS A RESEARCH ASSISTANT IN COMPUTER SCIENCE AT TU DORTMUND, GERMANY DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
any_adam_object	1
author	Gedikli, Fatih
author_GND	(DE-588)13803141X
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discipline	Informatik
doi_str_mv	10.1007/978-3-658-01948-8
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spellingShingle	Gedikli, Fatih Recommender systems and the social web leveraging tagging data for recommender systems Social Tagging (DE-588)7629989-2 gnd Empfehlungssystem (DE-588)7511891-9 gnd
subject_GND	(DE-588)7629989-2 (DE-588)7511891-9 (DE-588)4113937-9
title	Recommender systems and the social web leveraging tagging data for recommender systems
title_auth	Recommender systems and the social web leveraging tagging data for recommender systems
title_exact_search	Recommender systems and the social web leveraging tagging data for recommender systems
title_full	Recommender systems and the social web leveraging tagging data for recommender systems Fatih Gedikli
title_fullStr	Recommender systems and the social web leveraging tagging data for recommender systems Fatih Gedikli
title_full_unstemmed	Recommender systems and the social web leveraging tagging data for recommender systems Fatih Gedikli
title_short	Recommender systems and the social web
title_sort	recommender systems and the social web leveraging tagging data for recommender systems
title_sub	leveraging tagging data for recommender systems
topic	Social Tagging (DE-588)7629989-2 gnd Empfehlungssystem (DE-588)7511891-9 gnd
topic_facet	Social Tagging Empfehlungssystem Hochschulschrift
url	https://doi.org/10.1007/978-3-658-01948-8 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025931926&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=025931926&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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