000 03325nam a22004695i 4500
001 978-3-642-25694-3
003 DE-He213
005 20140220083306.0
007 cr nn 008mamaa
008 120120s2012 gw | s |||| 0|eng d
020 _a9783642256943
_9978-3-642-25694-3
024 7 _a10.1007/978-3-642-25694-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aPazos Arias, José J.
_eauthor.
245 1 0 _aRecommender Systems for the Social Web
_h[electronic resource] /
_cby José J. Pazos Arias, Ana Fernández Vilas, Rebeca P. Díaz Redondo.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXX, 224p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v32
505 0 _aPart I General Aspects -- Part II Interoperability For Recommendation -- Part III Trust & Recommendation -- Part IV Group Recommendation -- Part V Applications -- Part VI Conclusions And Open Trends.
520 _aThe recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the  Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and  Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with.  If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web era take into account the users’ point of view and the relationships among users to calculate their predictions. This book aims to help readers to discover and understand the interplay among legal issues such as privacy; technical aspects such as interoperability and scalability; and social aspects such as the influence of affinity, trust, reputation and likeness, when the goal is to offer recommendations that are truly useful to both the user and the provider.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aFernández Vilas, Ana.
_eauthor.
700 1 _aDíaz Redondo, Rebeca P.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642256936
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v32
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-25694-3
912 _aZDB-2-ENG
999 _c102467
_d102467