000 03435nam a22004935i 4500
001 978-3-319-00372-6
003 DE-He213
005 20200420220227.0
007 cr nn 008mamaa
008 130524s2013 gw | s |||| 0|eng d
020 _a9783319003726
_9978-3-319-00372-6
024 7 _a10.1007/978-3-319-00372-6
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aMultimedia Services in Intelligent Environments
_h[electronic resource] :
_bAdvances in Recommender Systems /
_cedited by George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain.
264 1 _aHeidelberg :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aX, 174 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSmart Innovation, Systems and Technologies,
_x2190-3018 ;
_v24
505 0 _aMultimedia Services in Intelligent Environments - Advances in Recommender Systems -- A Survey of Approaches to Designing Recommender Systems -- Hybrid User Model for Capturing a User's Information Seeking Intent -- Recommender Systems: Network Approaches -- Toward the Next Generation of Recommender Systems: Applications and Research Challenges -- Pattern Extraction from Graphs and Beyond.
520 _aMultimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, e-government and e-governance, e-commerce and e-auctions, e-entertainment, e-health and e-medicine, and e-legal services, as well as their mobile counterparts (i.e., m-services). Despite the tremendous growth of multimedia services over the recent years, there is an increasing demand for their further development. This demand is driven by the ever-increasing desire of society for easy accessibility to information in friendly, personalized and adaptive environments. In this book at hand, we examine recent Advances in Recommender Systems. Recommender systems are crucial in multimedia services, as they aim at protecting the service users from information overload. The book includes nine chapters, which present various recent research results in recommender systems. This research book is directed to professors, researchers, application engineers and students of all disciplines who are interested in learning more about recommender systems, advancing the corresponding state of the art and developing recommender systems for specific applications.  .
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aTsihrintzis, George A.
_eeditor.
700 1 _aVirvou, Maria.
_eeditor.
700 1 _aJain, Lakhmi C.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319003719
830 0 _aSmart Innovation, Systems and Technologies,
_x2190-3018 ;
_v24
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-00372-6
912 _aZDB-2-ENG
942 _cEBK
999 _c52277
_d52277