Copertina

TRANSFER LEARNING FOR RESOLVING SPARSITY PROBLEM IN RECOMMENDER SYSTEMS: HUMAN VALUES APPROACH

Fuente: Redalyc

Salvato in:

Dettagli Bibliografici
Autore principale:	Abhishek Srivastava
Natura:	Artículo científico
Lingua:	en
Pubblicazione:	Universidade de São Paulo 2017
Soggetti:	Ingeniería Sparsity problem Transfer learning Basic Human Values Recommender systems Collaborative filtering
Accesso online:	Acceder al recurso 1 Acceder al recurso 2 Acceder al recurso 3 Acceder al recurso 4 Acceder al recurso 5
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Improving the Performance of Web Service Recommenders Using Semantic Similarity
di: Juan Manuel Adán-Coello
Pubblicazione: (2014)

Optimization of Recommender Systems Using Particle Swarms
di: Nancy Yaneth Gelvez-García
Pubblicazione: (2023)

RECOMMENDER SYSTEMS IN SOCIAL NETWORKS
di: Cleomar Valois B. Jr
Pubblicazione: (2011)

SPR SYNTHESISED: AN EFFECTIVE COLLABORATIVE BASED RECOMMENDATION SYSTEM BASED ON USER SENTIMENTS
di: Journal of Theoretical and Applied Information Technology
Pubblicazione: (2025)

An empirical research and comparative analysis of clustering performance for processing categorical and numerical data extracts from social media
di: Shini Renjith
Pubblicazione: (2022)

Recommender Systems: Learning Collaborative Filtering Similarity Measures Using Siamese Networks
di: Bobadilla, Jesús, et al.
Pubblicazione: (2026)

A college degree recommendation model
di: Milton Rafael Maridueña-Arroyave
Pubblicazione: (2016)

An efficient hybrid recommender system framework using semantic technology for social networks
di: Ali Pazahr
Pubblicazione: (2020)

Characterization of the Relationship Between Firms and Universities and Innovation Performance: The Case of Colombian Firms
di: Fredy A Gomez
Pubblicazione: (2014)

Learning to Collaborate and Collaborating to Learn: An Experiential Approach to Teaching Collaborative Systems
di: Robert Kay
Pubblicazione: (2006)

JAVA PROBLEM-BASED LEARNING
di: Goran Šimić P.
Pubblicazione: (2012)

Knowledge transfer and learning: problems of knowledge transfer associated with trying to short-circuit the learning cycle
di: Sue Newell
Pubblicazione: (2005)

Dynamic Inverse Problem Solution Using a Kalman Filter Smoother for Neuron al Activity Estimation
di: Eduardo Giraldo-Suárez
Pubblicazione: (2011)

2012 IODE Officers Meeting: Meeting by video conferencing hosted by the IOC Project Office for IODE, 30 January-3 February 2012. Summary report.
di: IOC Project Office for IODE
Pubblicazione: (2012)

Working Committee on International Oceanographic Data Exchange: Fifth Session of the IODE Consultative Meeting, Summary report
Pubblicazione: (1986)

Basic values of Russian and foreign students (comparative aspect)
di: Tatiana Vyacheslavovna Nesterova
Pubblicazione: (2021)

ESTIMATION OF NEURONAL ACTIVITY AND BRAIN DYNAMICS USING ADUAL KALMAN FILTER WITH PHYSIOLOGYCAL BASED LINEAR MODEL
di: Eduardo Giraldo
Pubblicazione: (2013)

ICT mediated collaborative work in system dynamics learning
di: Ricardo Vicente Jaime-Vivas
Pubblicazione: (2015)

AsistO: A Qualitative MDP-based Recommender System for Power Plant Operation
di: Alberto Reyes
Pubblicazione: (2009)

Applying the Technology Acceptance Model to Evaluation of Recommender Systems
di: Marcelo G. Armentano
Pubblicazione: (2015)

Recommender Systems: Legal and Ethical Issues
Pubblicazione: (2023)

BOTHERING CONSUMERS: WHEN RECOMMENDATION AGENTS DON’T REALLY MAKE OUR LIFE EASIER
di: FÁBIO VERRUCK
Pubblicazione: (2017)

EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR PERSONALIZED RECOMMENDER SYSTEMS USING DEEP LEARNING MODEL
di: Dr. Deepjyoti Roy, Prof. Dr. Rohini Pundalik Onkare, Muthumari, Amit S. Tiwari, Shah Rakesh Jagdishchandra, Amartya Ghosh, Dr. Nagendra Nath Giri
Pubblicazione: (2026)

Design of interactive and collaborative learning units using TICs in architectural construction education
di: Núria Martí
Pubblicazione: (2017)

JobMatcher: Multi-Layer Personalized and Inclusive Job Recommendations
di: Alsulami, Mashael M., et al.
Pubblicazione: (2026)

Towards the Automatic Recommendation of Musical Parameters based on Algorithm for Extraction of Linguistic Rules
di: Félix Castro Espinoza
Pubblicazione: (2014)

AI Knowledge Recommender as a Digital Learning Companion
di: Srikanth, Madabhushi
Pubblicazione: (2026)

LOOKING AT LEARNING COMMUNITIES WITH THE APPROPRIATE GLASSES: HINTS AND IDEAS FROM NETWORK SCIENCES
di: Fabio Nascimbeni
Pubblicazione: (2013)

Movie Bubble: A Group-Centric Movie Recommendation System
di: Sk. Mujafar Ahmed, et al.
Pubblicazione: (2026)

The effects of applying filters on EEG signals for classifying developers’ code comprehension
di: L. J. Gonçales
Pubblicazione: (2021)

Novel similarity measures for Fermatean fuzzy sets and its applications in image processing
di: Romisha, Romisha, et al.
Pubblicazione: (2025)

A Tourism Recommender Agent: from theory to practice
di: Ana Casali
Pubblicazione: (2008)

"Buddy System": A Pedagogical Innovation to Promote Online Interaction
di: Martha Isabel Espitia Cruz
Pubblicazione: (2013)

Suitability of teriparatide and level of acceptance of pharmacotherapeutic recommendations in a healthcare management area
di: María Rosa Cantudo Cuenca
Pubblicazione: (2016)

Research and Design of a Grid Based Electronic Commerce Recommendation System
di: Yueling Liang
Pubblicazione: (2010)

El aprendizaje colaborativo en materias de desarrollo de habilidades individuales
di: Aurora González
Pubblicazione: (2009)

Language Interaction Among EFL Primary Learners and Their Teacher Through Collaborative Task-Based Learning
di: Ingrid Rocío Suárez Ramírez
Pubblicazione: (2018)

Engaging Foreign Language Learners in a Web 2.0-Mediated Collaborative Learning Process
di: Gabriel Eduardo Cote Parra
Pubblicazione: (2015)

Ratings Estimation on Group Recommender Systems
di: Ingrid A. Christensen
Pubblicazione: (2012)

Edge AI: A Survey of Next-Generation Waste Classification and Routing Architectures
di: Yash Saini, et al.
Pubblicazione: (2026)