Holdings: Recommender Systems

Recommender Systems: The Textbook

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Bibliographic Details
Main Author:	Aggarwal, Charu C. 1970- (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer International Publishing 2016
Subjects:	Computer Science Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Informatik Empfehlungssystem Data Mining Künstliche Intelligenz Lehrbuch
Online Access:	BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 HTW01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 URL des Erstveröffentlichers Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (XXI, 498 p. 79 illus., 18 illus. in color)
ISBN:	9783319296593
DOI:	10.1007/978-3-319-29659-3

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adam_text	RECOMMENDER SYSTEMS / AGGARWAL, CHARU C. : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS AN INTRODUCTION TO RECOMMENDER SYSTEMS NEIGHBORHOOD-BASED COLLABORATIVE FILTERING MODEL-BASED COLLABORATIVE FILTERING CONTENT-BASED RECOMMENDER SYSTEMS KNOWLEDGE-BASED RECOMMENDER SYSTEMS ENSEMBLE-BASED AND HYBRID RECOMMENDER SYSTEMS EVALUATING RECOMMENDER SYSTEMS CONTEXT-SENSITIVE RECOMMENDER SYSTEMS TIME- AND LOCATION-SENSITIVE RECOMMENDER SYSTEMS STRUCTURAL RECOMMENDATIONS IN NETWORKS SOCIAL AND TRUST-CENTRIC RECOMMENDER SYSTEMS ATTACK-RESISTANT RECOMMENDER SYSTEMS ADVANCED TOPICS IN RECOMMENDER SYSTEMS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. RECOMMENDER SYSTEMS / AGGARWAL, CHARU C. : 2016 ABSTRACT / INHALTSTEXT THIS BOOK COMPREHENSIVELY COVERS THE TOPIC OF RECOMMENDER SYSTEMS, WHICH PROVIDE PERSONALIZED RECOMMENDATIONS OF PRODUCTS OR SERVICES TO USERS BASED ON THEIR PREVIOUS SEARCHES OR PURCHASES. RECOMMENDER SYSTEM METHODS HAVE BEEN ADAPTED TO DIVERSE APPLICATIONS INCLUDING QUERY LOG MINING, SOCIAL NETWORKING, NEWS RECOMMENDATIONS, AND COMPUTATIONAL ADVERTISING. THIS BOOK SYNTHESIZES BOTH FUNDAMENTAL AND ADVANCED TOPICS OF A RESEARCH AREA THAT HAS NOW REACHED MATURITY. THE CHAPTERS OF THIS BOOK ARE ORGANIZED INTO THREE CATEGORIES: - ALGORITHMS AND EVALUATION: THESE CHAPTERS DISCUSS THE FUNDAMENTAL ALGORITHMS IN RECOMMENDER SYSTEMS, INCLUDING COLLABORATIVE FILTERING METHODS, CONTENT-BASED METHODS, KNOWLEDGE-BASED METHODS, ENSEMBLE-BASED METHODS, AND EVALUATION. - RECOMMENDATIONS IN SPECIFIC DOMAINS AND CONTEXTS: THE CONTEXT OF A RECOMMENDATION CAN BE VIEWED AS IMPORTANT SIDE INFORMATION THAT AFFECTS THE RECOMMENDATION GOALS.DIFFERENT TYPES OF CONTEXT SUCH AS TEMPORAL DATA, SPATIAL DATA, SOCIAL DATA, TAGGING DATA, AND TRUSTWORTHINESS ARE EXPLORED. - ADVANCED TOPICS AND APPLICATIONS: VARIOUS ROBUSTNESS ASPECTS OF RECOMMENDER SYSTEMS, SUCH AS SHILLING SYSTEMS, ATTACK MODELS, AND THEIR DEFENSES ARE DISCUSSED. IN ADDITION, RECENT TOPICS, SUCH AS LEARNING TO RANK, MULTI-ARMED BANDITS, GROUP SYSTEMS, MULTI-CRITERIA SYSTEMS, AND ACTIVE LEARNING SYSTEMS, ARE INTRODUCED TOGETHER WITH APPLICATIONS. ALTHOUGH THIS BOOK PRIMARILY SERVES AS A TEXTBOOK, IT WILL ALSO APPEAL TO INDUSTRIAL PRACTITIONERS AND RESEARCHERS DUE TO ITS FOCUS ON APPLICATIONS AND REFERENCES. NUMEROUS EXAMPLES AND EXERCISES HAVE BEEN PROVIDED, AND A SOLUTION MANUAL IS AVAILABLE FOR INSTRUCTORS. ABOUT THE AUTHOR: CHARU C. AGGARWAL IS A DISTINGUISHED RESEARCH STAFF MEMBER (DRSM) AT THE IBM T.J. WATSON RESEARCH CENTER IN YORKTOWN HEIGHTS, NEW YORK. HE COMPLETED HIS B.S. FROM IIT KANPUR IN 1993 AND HIS PH.D.FROM THE MASSACHUSETTS INSTITUTE OF TECHNOLOGY IN 1996. HE HAS PUBLISHED MORE THAN 300 PAPERS IN REFEREED CONFERENCES AND JOURNALS, AND HAS APPLIED FOR OR BEEN GRANTED MORE THAN 80 PATENTS. HE IS AUTHOR OR EDITOR OF 15 BOOKS, INCLUDING A TEXTBOOK ON DATA MINING AND A COMPREHENSIVE BOOK ON OUTLIER ANALYSIS. BECAUSE OF THE COMMERCIAL VALUE OF HIS PATENTS, HE HAS THRICE BEEN DESIGNATED A MASTER INVENTOR AT IBM. HE HAS RECEIVED SEVERAL INTERNAL AND EXTERNAL AWARDS, INCLUDING THE EDBT TEST-OF-TIME AWARD (2014) AND THE IEEE ICDM RESEARCH CONTRIBUTIONS AWARD (2015). HE HAS ALSO SERVED AS PROGRAM OR GENERAL CHAIR OF MANY MAJOR CONFERENCES IN DATA MINING. HE IS A FELLOW OF THE SIAM, ACM, AND THE IEEE, FOR “CONTRIBUTIONS TO KNOWLEDGE DISCOVERY AND DATA MINING ALGORITHMS.” DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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genre	(DE-588)4123623-3 Lehrbuch gnd-content
genre_facet	Lehrbuch
id	DE-604.BV043504168
illustrated	Not Illustrated
indexdate	2024-07-10T07:27:28Z
institution	BVB
isbn	9783319296593
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028920513
oclc_num	946156793
open_access_boolean
owner	DE-355 DE-BY-UBR DE-523 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-20 DE-739 DE-634 DE-92
owner_facet	DE-355 DE-BY-UBR DE-523 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-20 DE-739 DE-634 DE-92
physical	1 Online-Ressource (XXI, 498 p. 79 illus., 18 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2016
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	Springer International Publishing
record_format	marc
spelling	Aggarwal, Charu C. 1970- Verfasser (DE-588)133500101 aut Recommender Systems The Textbook by Charu C. Aggarwal Cham Springer International Publishing 2016 1 Online-Ressource (XXI, 498 p. 79 illus., 18 illus. in color) txt rdacontent c rdamedia cr rdacarrier Computer Science Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Informatik Empfehlungssystem (DE-588)7511891-9 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Informatik (DE-588)4026894-9 s Data Mining (DE-588)4428654-5 s Künstliche Intelligenz (DE-588)4033447-8 s Empfehlungssystem (DE-588)7511891-9 s DE-604 Erscheint auch als Druckausgabe 978-3-319-29657-9 https://doi.org/10.1007/978-3-319-29659-3 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028920513&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028920513&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Aggarwal, Charu C. 1970- Recommender Systems The Textbook Computer Science Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Informatik Empfehlungssystem (DE-588)7511891-9 gnd Data Mining (DE-588)4428654-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Informatik (DE-588)4026894-9 gnd
subject_GND	(DE-588)7511891-9 (DE-588)4428654-5 (DE-588)4033447-8 (DE-588)4026894-9 (DE-588)4123623-3
title	Recommender Systems The Textbook
title_auth	Recommender Systems The Textbook
title_exact_search	Recommender Systems The Textbook
title_full	Recommender Systems The Textbook by Charu C. Aggarwal
title_fullStr	Recommender Systems The Textbook by Charu C. Aggarwal
title_full_unstemmed	Recommender Systems The Textbook by Charu C. Aggarwal
title_short	Recommender Systems
title_sort	recommender systems the textbook
title_sub	The Textbook
topic	Computer Science Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Informatik Empfehlungssystem (DE-588)7511891-9 gnd Data Mining (DE-588)4428654-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Informatik (DE-588)4026894-9 gnd
topic_facet	Computer Science Data Mining and Knowledge Discovery Artificial Intelligence (incl. Robotics) Informatik Empfehlungssystem Data Mining Künstliche Intelligenz Lehrbuch
url	https://doi.org/10.1007/978-3-319-29659-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028920513&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=028920513&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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