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000727721 020__ $$a9783319191355$$qelectronic book
000727721 020__ $$a3319191357$$qelectronic book
000727721 020__ $$z9783319191348
000727721 035__ $$aSP(OCoLC)ocn911054496
000727721 035__ $$aSP(OCoLC)911054496
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000727721 049__ $$aISEA
000727721 050_4 $$aQA76.9.I58
000727721 08204 $$a005.56$$223
000727721 1001_ $$aLampropoulos, Aristomenis S.,$$eauthor.
000727721 24510 $$aMachine learning paradigms$$h[electronic resource] :$$bapplications in recommender systems /$$cAristomenis S. Lampropoulos, George A. Tsihrintzis.
000727721 264_1 $$aCham :$$bSpringer,$$c2015.
000727721 300__ $$a1 online resource :$$billustrations.
000727721 336__ $$atext$$btxt$$2rdacontent
000727721 337__ $$acomputer$$bc$$2rdamedia
000727721 338__ $$aonline resource$$bcr$$2rdacarrier
000727721 4901_ $$aIntelligent systems reference library,$$x1868-4408 ;$$vvolume 92
000727721 5050_ $$aIntroduction -- Review of Previous Work Related to Recommender Systems -- The Learning Problem.-Content Description of Multimedia Data -- Similarity Measures for Recommendations based on Objective Feature Subset Selection -- Cascade Recommendation Methods -- Evaluation of Cascade Recommendation Methods -- Conclusions and Future Work.
000727721 506__ $$aAccess limited to authorized users.
000727721 588__ $$aOnline resource; title from PDF title page (viewed June 17, 2015).
000727721 650_0 $$aRecommender systems (Information filtering)
000727721 650_0 $$aMachine learning.
000727721 7001_ $$aTsihrintzis, George A.,$$eauthor.
000727721 830_0 $$aIntelligent systems reference library ;$$vv. 92.
000727721 852__ $$bebk
000727721 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-19135-5$$zOnline Access$$91397441.1
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000727721 980__ $$aEBOOK
000727721 980__ $$aBIB
000727721 982__ $$aEbook
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