PPT-User-friendly NPS-based recommender system for driving business revenue.

Author : marina-yarberry | Published Date : 2018-09-25

CCI UNCCharlotte Research sponsored by presented by Zbigniew W Ras WI17 Leipzig Germany Project Team Kasia Tarnowska Warsaw Univ of Tech Poland Pauline Brunet

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User-friendly NPS-based recommender system for driving business revenue.: Transcript


CCI UNCCharlotte Research sponsored by presented by Zbigniew W Ras WI17 Leipzig Germany Project Team Kasia Tarnowska Warsaw Univ of Tech Poland Pauline Brunet Paris Tech. Subscriber Details Subscriber s PRAN New Application Name of the Subscriber Are you a Govt Employee with date of joining pre 2004 See instructions at Sr No 1 2 Yes No Phone No Mobile No Payment Details mount to be invested Amount in w ords N. MMB . P. reprocessing . S. ystem. Matthew Pyle. Dusan. . Jovic. Outline. Overview. The four component executables and their functions. Three of them are in common with WPS: . ungrib. , . geogrid. New Employees joining NGP. S1 forms filled at recruitment stage & sent to APO/NPS. Biodata. entered in NPS-PRIME. S1 forms along with list of employees are sent by P . br. to A/C department. P Br. thorny Problem formulation. Machine Learning. Example: Predicting movie ratings. User rates movies using one to five stars. Movie. Alice (1). Bob (2). Carol (3). Dave (4). Love at last. Romance forever. Cute puppies of love. Explanations in recommender systems. Motivation. “The . digital camera . Profishot. . is a must-buy for you because . . . . .”. Why should recommender systems deal . with explanations at . all?. Agenda. Online consumer decision making. Introduction. Context effects. Primacy/. recency. effects. Further effects. Personality and social psychology. Discussion and . summary. Literature. Introduction. Gabriel Vargas Carmona. 22.06.12. Agenda. Introduction. General Overview. Recommender. . system. Evaluation. RMSE & MAE. Recall . and. . precision. Long-. tail. Netflix. . and. . Movielens. Collaborative . www.kdd.uncc.edu. CCI, UNC-Charlotte. Research sponsored . by:. p. resented by. Zbigniew. W. Ras. CONSULTING COMPANY in Charlotte. Client 1. Client 2. Client 3. Client 4. Build . Recommender System. The National Forum of State Nursing Workforce Centers. Denver, CO. Catherine DesRoches • Jennifer . Perloff. . • . Peter . Buerhaus. June 10, 2015. Peter . Buerhaus. , Vanderbilt University Medical . Let your community know you are concerned, . and encourage our Central Coast residents to think before they drink.. P. SAs . produced by Ad Council, in partnership with NHTSA and supported by . TVB.. Bike Friendly RGV: Encouraging Bike Friendly Business Hidalgo County Metropolitan Planning Organization 510 S Pleasantview Dr., Weslaco, TX 78596 Why Should Biking Be E ncouraged…. Practical Using Fact SheetMetro PopulationFigure 1 Areas by Scope of Practice United States is primary care physician is nurse practitioner Source Author146s analysis of the Area Health Resource File US Bureau of He Introduction to Recommender Systems. Recommender systems: The task. Customer W. 2. Slides adapted from Jure Leskovec. Plays an Ella Fitzgerald song. What should we recommend next?. Thomas . Quella. Wikimedia Commons.

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