Social Network-Based Recommender Systems PDF
Preview Social Network-Based Recommender Systems
Daniel Schall Social Network-Based Recommender Systems Social Network-Based Recommender Systems Daniel Schall Social Network-Based Recommender Systems 123 DanielSchall SiemensCorporateTechnology Wien,Austria ISBN978-3-319-22734-4 ISBN978-3-319-22735-1 (eBook) DOI10.1007/978-3-319-22735-1 LibraryofCongressControlNumber:2015951351 SpringerChamHeidelbergNewYorkDordrechtLondon ©SpringerInternationalPublishingSwitzerland2015 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbook arebelievedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsor theeditorsgiveawarranty,expressorimplied,withrespecttothematerialcontainedhereinorforany errorsoromissionsthatmayhavebeenmade. Printedonacid-freepaper SpringerInternational PublishingAGSwitzerlandispartofSpringerScience+Business Media(www. springer.com) To mysonKilian Preface People increasingly use social networks to manage various aspects of their lives such as communication,collaboration,and informationsharing. A user’s network of friends may offer a wide range of important benefits such as receiving online help and support and the ability to exploit professional opportunities. One of the most profound properties of social networks is their dynamic nature governed by peopleconstantlyjoiningandleavingthesocialnetworks.Thecircleoffriendsmay frequently change when people establish friendship through social links or when theirinterestinasocialrelationshipendsandthelinkisremoved. Thisbookintroducesnoveltechniquesandalgorithmsforsocialnetwork-based recommendersystems.Here,conceptssuchaslinkpredictionusinggraphpatterns, following recommendation based on user authority, strategic partner selection in collaborative systems, and network formation based on “social brokers” are presented.In this book,well-established graph modelssuch as the notion of hubs and authorities provide the basis for authority-based recommendation and are systematicallyextendedtowardsaunifiedHyperlinkInducedTopicSearch(HITS) and personalizedPageRank model.Detailed experimentsusingvariousreal-world datasetsandsystematicevaluationofrecommendationresultsprooftheapplicability ofthepresentedconcepts. Vienna,Austria DanielSchall June2015 vii Acknowledgements Thisbookprovidesadetailedsummaryandnewviewpointsontheauthor’sresearch inthefieldofsocialnetworkanalysisandlinkformationtechniques.DanielSchall received his Ph.D. degree in computer science from the Vienna University of Technologyin2009. He started hisresearchcareeratSiemensCorporateResearchin Princeton,NJ, USA,in2003,wherehewasemployedasatechnicalassociate.In2006,hebegan hisdoctoralstudiesattheViennaUniversityofTechnology.AttheViennaUniver- sityofTechnology,hewasinvolvedinanumberofEuropeanfundedFP6andFP7 projectsbothasaprojectmanagerandkeyresearcher.Danielwasaprincipalinves- tigatorofcrowdsourcingandsocialcomputingactivitiesattheDistributedSystems Group.ThemainresultsofhisresearchinthecontextofcrowdsourcingandHuman Provided Services were published in the book Service-Oriented Crowdsourcing: Architecture,ProtocolsandAlgorithms.Also,hepublishedmorethan40scientific papersat top-rankedinternationalconferencesand morethan 20 scientific journal papers in highly ranked journals and renowned magazines including the Journal of Informetrics, Decision Support Systems, Data and Knowledge Engineering, InformationSystems,IEEETransactionsonServicesComputing,IEEEComputer, IEEEInternetComputing,andSocialNetworkAnalysisandMining. Dr.DanielSchalliscurrentlyemployedasaseniorkeyexpertresearchscientist atSiemensCorporateTechnologyinVienna,Austria. ix
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