Search Results for 'Recommender'

Recommender published presentations and documents on DocSlides.

Recommender Systems – An Introduction
Recommender Systems – An Introduction
by alida-meadow
Dietmar. . Jannach. , Markus . Zanker. , Alexand...
Recommender Systems and Collaborative Filtering
Recommender Systems and Collaborative Filtering
by eliza
Introduction to Recommender Systems. Recommender s...
Performance of Recommender Algorithms on Top-N Recommendation Tasks
Performance of Recommender Algorithms on Top-N Recommendation Tasks
by debby-jeon
Performance of Recommender Algorithms on Top-N Re...
What we have covered What is IR
What we have covered What is IR
by alida-meadow
Evaluation. Tokenization and properties of text ....
Peer  Interaction  Effectively, yet
Peer Interaction Effectively, yet
by mitsue-stanley
Infrequently, Enables . Programmers to Discover N...
User-friendly NPS-based recommender system for driving business revenue.
User-friendly NPS-based recommender system for driving business revenue.
by marina-yarberry
CCI, UNC-Charlotte. Research sponsored by. presen...
What we have covered What is IR
What we have covered What is IR
by liane-varnes
Evaluation. Tokenization and properties of text ....
Matrix Factorization
Matrix Factorization
by pasty-toler
and. Collaborative Filtering. 1. Matt Gormley. Le...
Hierarchical Recommender System for Improving NPS.
Hierarchical Recommender System for Improving NPS.
by pasty-toler
www.kdd.uncc.edu. CCI, UNC-Charlotte. Researc...
Performance of Recommender Algorithms on Top-N Recommendati
Performance of Recommender Algorithms on Top-N Recommendati
by aaron
Gabriel Vargas Carmona. 22.06.12. Agenda. Introdu...
Recommender Systems
Recommender Systems
by conchita-marotz
Dr. Frank McCown. Intro to Web Science. Harding U...
Hybrid Recommendation
Hybrid Recommendation
by mitsue-stanley
Danielle Lee . April 20, 2011. Three basic recomm...
Prediction Modeling for Personalization & Recommender S
Prediction Modeling for Personalization & Recommender S
by conchita-marotz
Bamshad Mobasher. DePaul University. 2. What Is P...
X-Informatics Case Study:
X-Informatics Case Study:
by calandra-battersby
e-Commerce and Life Style Informatics: . Recommen...
Recommender Systems
Recommender Systems
by alida-meadow
Problem formulation. Machine Learning. Example: P...
Hierarchical Recommender System for Improving NPS.
Hierarchical Recommender System for Improving NPS.
by min-jolicoeur
www.kdd.uncc.edu. CCI, UNC-Charlotte. Researc...
Peer
Peer
by kittie-lecroy
Interaction . Effectively, yet . Infrequently, En...
Explanations in recommender systems
Explanations in recommender systems
by tatyana-admore
Explanations in recommender systems. Motivation. ...
Evaluating Recommender Systems
Evaluating Recommender Systems
by luanne-stotts
Evaluating Recommender Systems. A myriad of techn...
Online consumer decision making
Online consumer decision making
by luanne-stotts
Agenda. Online consumer decision making. Introduc...
Hybrid recommendation approaches
Hybrid recommendation approaches
by kittie-lecroy
Hybrid recommender systems. Hybrid: combinations ...
Context Uncertainty in Contextual Bandits
Context Uncertainty in Contextual Bandits
by queenie
with Applications to Recommender Systems. AAAI 202...
Developing a Recommender System for Shark Presence along East Coast Beaches
Developing a Recommender System for Shark Presence along East Coast Beaches
by cady
SAS Deep Learning . Symposium, . September . 27-28...
(BOOS)-Recommender Systems Handbook
(BOOS)-Recommender Systems Handbook
by ebook
The explosive growth of e-commerce and online envi...
[PDF]-Machine Learning with PySpark With Natural Language Processing and Recommender Systems
[PDF]-Machine Learning with PySpark With Natural Language Processing and Recommender Systems
by gothammaxxwell
The Desired Brand Effect Stand Out in a Saturated ...
ow long have you known the applicant and it what capacity use addition
ow long have you known the applicant and it what capacity use addition
by paige
Page 2of 4Revised 7/20/20161H2Do you consider the ...
2018 MEPI Student Leaders Program
2018 MEPI Student Leaders Program
by violet
F requently Asked Questions  What is the Stude...
HyPER : A  Flexible and Extensible Probabilistic Framework for
HyPER : A Flexible and Extensible Probabilistic Framework for
by maniakti
Hybrid . Recommender Systems. Pigi Kouki, . Shobei...
Improving Understanding and Exploration of Data by Non-Database Experts
Improving Understanding and Exploration of Data by Non-Database Experts
by tickorekk
Rachel Pottinger. University of British Columbia. ...
The Netflix Prize Contest
The Netflix Prize Contest
by ellena-manuel
1) New Paths to New Machine Learning Science. 2) ...
Recommendation in Social Media
Recommendation in Social Media
by liane-varnes
S. OCIAL. N. ETWORKS. Modified from . R. . . ...
Recommendation in Social Media
Recommendation in Social Media
by calandra-battersby
S. OCIAL. N. ETWORKS. Modified from . R. . . ...
Recommender Systems: Con
Recommender Systems: Con
by lois-ondreau
t. e. n. t. -based Systems & Collaborative Fi...
COMMON APP READY The Recommendation Process
COMMON APP READY The Recommendation Process
by myesha-ticknor
© 2016 The Common . Application. • . commo...
Multiworld Testing Machine
Multiworld Testing Machine
by cheryl-pisano
Learning . for Contextual . Decision-Making. Micr...
Personalization  & Recommender Systems
Personalization & Recommender Systems
by tatyana-admore
Bamshad Mobasher. Center for Web Intelligence. De...
Secure Personalization Building Trustworthy recommender systems
Secure Personalization Building Trustworthy recommender systems
by yoshiko-marsland
in the Presence of Adversaries?. Bamshad Mobasher...
CoBaFi : Collaborative Bayesian Filtering
CoBaFi : Collaborative Bayesian Filtering
by stefany-barnette
Alex Beutel. Joint work with Kenton Murray, . Chr...
HyPER
HyPER
by aaron
: A . Flexible and Extensible Probabilistic Frame...