LEADER 01122nam 2200361Ia 450 001 996384146103316 005 20221108063311.0 035 $a(CKB)1000000000586822 035 $a(EEBO)2240992711 035 $a(OCoLC)12317912 035 $a(EXLCZ)991000000000586822 100 $a19850729d1683 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aRichard Baxter's farewel sermon$b[electronic resource] $eprepared to have been preached to his hearers at Kidderminster at his departure, but forbidden 210 $aLondon $cPrinted for B. Simmons ...$d1683 215 $a[5], 42, [1] p 300 $aSermon on John 16:22. 300 $aAdvertisement on p. [1] at end. 300 $aReproduction of original in Yale University Library. 330 $aeebo-0198 606 $aFarewell sermons 615 0$aFarewell sermons. 700 $aBaxter$b Richard$f1615-1691.$0615285 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bUMI 801 2$bWaOLN 906 $aBOOK 912 $a996384146103316 996 $aRichard Baxter's farewel sermon$92374576 997 $aUNISA LEADER 01855nam 2200481I 450 001 9910702437803321 005 20140908101220.0 035 $a(CKB)5470000002427792 035 $a(OCoLC)890132578 035 $a(EXLCZ)995470000002427792 100 $a20140908j201403 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent improvements to the Acoustical Testing Laboratory at the NASA Glenn Research Center /$fDevin M. Podboy [and three others] 210 1$aCleveland, Ohio :$cNational Aeronautics and Space Administration, Langley Research Center,$dMarch 2014. 215 $a1 online resource (13 pages) $ccolor illustrations 225 1 $aNASA/TM ;$v2014-218110 300 $aTitle from title screen (viewed July 9, 2014). 300 $a"March 2014." 300 $a"Prepared for the SciTech 2014 sponsored by the American Institute of Aeronautics and Astronautics National Harbor, Maryland, January 13-17, 2014." 320 $aIncludes bibliographical references (page 5). 606 $aAcoustic properties$2nasat 606 $aTest chambers$2nasat 606 $aAerodynamic configurations$2nasat 606 $aAcoustic measurement$2nasat 606 $aAnechoic chambers$2nasat 615 7$aAcoustic properties. 615 7$aTest chambers. 615 7$aAerodynamic configurations. 615 7$aAcoustic measurement. 615 7$aAnechoic chambers. 700 $aPodboy$b Devin M.$01405437 712 02$aNASA Glenn Research Center, 712 02$aFundamental Aeronautics Program (U.S.), 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910702437803321 996 $aRecent improvements to the Acoustical Testing Laboratory at the NASA Glenn Research Center$93481919 997 $aUNINA LEADER 04982nam 22006133 450 001 9910297039503321 005 20241204165200.0 010 $a9783631754528 010 $a3631754523 024 7 $a10.3726/b13971 035 $a(CKB)4100000007277002 035 $a(OAPEN)1003224 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/37317 035 $a(MiAaPQ)EBC30686084 035 $a(Au-PeEL)EBL30686084 035 $a(ScCtBLL)84b3dfee-c0ab-49d9-b46e-d21ce75cef5b 035 $a(OCoLC)1163855828 035 $a(Perlego)2340989 035 $a(oapen)doab37317 035 $a(EXLCZ)994100000007277002 100 $a20230911d2007 uy 0 101 0 $aeng 135 $auuuuu---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProduct Recommendations in e-Commerce Retailing Applications 205 $aFirst edition. 210 $aBern$cPeter Lang International Academic Publishing Group$d2018 210 1$aFrankfurt am Main :$cPeter Lang GmbH, Internationaler Verlag der Wissenschaften,$d2007. 210 4$dİ2008. 215 $a1 online resource (222 pages) 225 1 $aForschungsergebnisse der Wirtschaftsuniversitaet Wien. 311 08$a9783631566220 311 08$a3631566220 327 $aCover -- 1 Introduction -- 1.1 Research Goal -- 1.2 Contents and Organization -- 2 Recommender Systems - Definition, Classification, and Marketing Perspectives -- 2.1 Working Definitions -- 2.2 Classification -- 2.3 Application Models of Recommender Systems -- 2.3.1 Broad Recommendation Lists -- 2.3.2 Customer Comments and Ratings -- 2.3.3 Notification Services -- 2.3.4 Product Associated Recommendations -- 2.3.5 Persistent Personalization -- 2.4 The Consumer Decision Process -- 2.4.1 Need Recognition -- 2.4.2 Information Search -- 2.4.3 Pre-Purchase Evaluation of Alternatives -- 2.4.4 Purchase -- 2.4.5 Post-Purchase Processes -- 2.5 Virtual Communities -- 2.5.1 Characteristics and Benefits -- 2.5.2 Virtual Communities and Network Effects -- 2.5.3 Community Building -- 3 Recommender Systems - Functional Perspectives -- 3.1 Input Data of Recommender Systems -- 3.2 Output Data of Recommender Systems -- 3.3 Measurement Scales for Preference Elicitation -- 3.4 Information Delivery -- 3.5 Recommendation Methods -- 3.5.1 Non-Personalized Recommendation Methods -- 3.5.2 Personalized Recommendation Methods -- 3.5.2.1 Synopsis of Information Filtering Methods -- 3.5.2.2 Human Approaches towards Information Filtering -- 3.5.2.3 Collaborative Filtering -- 3.5.2.4 Attribute-Based Filtering -- 3.5.2.5 Rules-Based Filtering -- 4 Research Model, Hypotheses, and Methodology -- 4.1 Problem Statement -- 4.2 Research Questions and Model -- 4.3 Methodology and Research Design -- 5 Results -- 5.1 Descriptive Results -- 5.1.1 Sample Size and Demographic Data -- 5.1.2 Internet Usage -- 5.1.3 Online Shopping -- 5.1.4 Online Product Recommendations -- 5.1.5 Ratings and Comments -- 5.2 Verification of the Research Model -- 5.2.1 Exploratory Factor Analysis -- 5.2.2 Psychographic Hypotheses - Structural Equation Model -- 5.2.3 Psychographic Hypotheses - Regression Model. 327 $a5.2.4 Sociodemographic Hypotheses -- 6 Summary and Directions for Further Research -- 6.1 Main Findings -- 6.2 Limitations and Directions for Further Research -- Bibliography -- Appendices -- A AMOS Output -- A.1 Survey AUM -- A.2 Survey AON. 330 $aThe book deals with product recommendations generated by information systems referred to as recommender systems. Recommender systems assist consumers in making product choices by providing recommendations of the range of products and services offered in an online purchase environment. The quantitative research study investigates the influence of psychographic and sociodemographic determinants on the interest of consumers in personalized online book recommendations. The author presents new findings regarding the interest in recommendations, importance of product reviews for the decision process, motives for submitting ratings as well as comments, and the delivery of recommendations. The results show that opinion seeking, opinion leading, domain specific innovativeness, online shopping experience, and age are important factors in respect of the interest in personalized recommendations. 410 0$aForschungsergebnisse der Wirtschaftsuniversita?t Wien. 606 $aDistribution (Economic theory)$xManagement 606 $aWarehouses$xManagement 606 $aMarketing research 615 0$aDistribution (Economic theory)$xManagement. 615 0$aWarehouses$xManagement. 615 0$aMarketing research. 676 $a658.8/72 700 $aKnotzer$b Nicolas$0913826 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910297039503321 996 $aProduct Recommendations in E-Commerce Retailing Applications$92047473 997 $aUNINA