Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Eliciting Auxiliary Information for Cold Start User Recommendation: A Survey
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 11, Issue 20, Pages 9608
Publisher
MDPI AG
Online
2021-10-16
DOI
10.3390/app11209608
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
- (2021) María del Carmen Rodríguez-Hernández et al. KNOWLEDGE-BASED SYSTEMS
- InNetGAN: Inception Network-Based Generative Adversarial Network for Denoising Low-Dose Computed Tomography
- (2021) K. A. Saneera Hemantha Kulathilake et al. Journal of Healthcare Engineering
- A review on Deep Learning approaches for low-dose Computed Tomography restoration
- (2021) K. A. Saneera Hemantha Kulathilake et al. Complex & Intelligent Systems
- New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests
- (2020) J. Herce-Zelaya et al. INFORMATION SCIENCES
- AutoTrustRec: Recommender System with Social Trust and Deep Learning using AutoEncoder
- (2020) Gourav Bathla et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data
- (2020) Senthilselvan Natarajan et al. EXPERT SYSTEMS WITH APPLICATIONS
- CAPER: Context-Aware Personalized Emoji Recommendation
- (2020) Guoshuai Zhao et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Personalized Long- and Short-term Preference Learning for Next POI Recommendation
- (2020) Yuxia Wu et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Meta-analysis of evaluation methods and metrics used in context-aware scholarly recommender systems
- (2019) Zohreh Dehghani Champiri et al. KNOWLEDGE AND INFORMATION SYSTEMS
- An app usage recommender system: improving prediction accuracy for both warm and cold start users
- (2019) Di Han et al. MULTIMEDIA SYSTEMS
- Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization
- (2019) Ignacio Fernández-Tobías et al. USER MODELING AND USER-ADAPTED INTERACTION
- Deep Learning Based Recommender System
- (2019) Shuai Zhang et al. ACM COMPUTING SURVEYS
- Exploiting syntactic and neighbourhood attributes to address cold start in tag recommendation
- (2019) Fabiano M. Belém et al. INFORMATION PROCESSING & MANAGEMENT
- Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems
- (2019) Konstantinos Pliakos et al. COMPUTERS & EDUCATION
- Challenges in the online component of blended learning: A systematic review
- (2019) Rasheed Abubakar Rasheed et al. COMPUTERS & EDUCATION
- CrowdStart: Warming up cold-start items using crowdsourcing
- (2019) Dong-Gyun Hong et al. EXPERT SYSTEMS WITH APPLICATIONS
- Joint Personalized Markov Chains with social network embedding for cold-start recommendation
- (2019) Yijia Zhang et al. NEUROCOMPUTING
- DNNRec: A novel deep learning based hybrid recommender system
- (2019) Kiran R et al. EXPERT SYSTEMS WITH APPLICATIONS
- Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems
- (2018) Iosif Viktoratos et al. EXPERT SYSTEMS WITH APPLICATIONS
- Social network data to alleviate cold-start in recommender system: A systematic review
- (2018) Lesly Alejandra Gonzalez Camacho et al. INFORMATION PROCESSING & MANAGEMENT
- Characterizing context-aware recommender systems: A systematic literature review
- (2018) Norha M. Villegas et al. KNOWLEDGE-BASED SYSTEMS
- A Personalised Group-Based Recommendation Approach for Web Search in E-Learning
- (2018) Mohammad Mustaneer Rahman et al. IEEE Access
- Exploring Users' Internal Influence from Reviews for Social Recommendation: A Case Study on Yelp
- (2018) IEEE TRANSACTIONS ON MULTIMEDIA
- HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items
- (2018) Fahad Anwaar et al. Journal of Computational Science
- A Cross-Domain Recommendation Mechanism for Cold-Start Users Based on Partial Least Squares Regression
- (2018) Cheng-Te Li et al. ACM Transactions on Intelligent Systems and Technology
- Collaborative filtering and deep learning based recommendation system for cold start items
- (2017) Jian Wei et al. EXPERT SYSTEMS WITH APPLICATIONS
- Enabling Kernel-Based Attribute-Aware Matrix Factorization for Rating Prediction
- (2017) Jia-Dong Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Neural Semantic Personalized Ranking for item cold-start recommendation
- (2017) Travis Ebesu et al. Information Retrieval Journal
- A probabilistic model for recommending to new cold-start non-registered users
- (2017) Antonio Hernando et al. INFORMATION SCIENCES
- Context-aware recommender systems in mobile environment: On the road of future research
- (2017) Imen Ben Sassi et al. INFORMATION SYSTEMS
- Your neighbors alleviate cold-start: On geographical neighborhood influence to collaborative web service QoS prediction
- (2017) Zhen Chen et al. KNOWLEDGE-BASED SYSTEMS
- Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research Direction
- (2017) Khalid Haruna et al. Applied Sciences-Basel
- CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks
- (2017) Junxing Zhu et al. IEEE Access
- Neural Semantic Personalized Ranking for item cold-start recommendation
- (2017) Travis Ebesu et al. Information Retrieval Journal
- A collaborative approach for research paper recommender system
- (2017) Khalid Haruna et al. PLoS One
- Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities
- (2016) Chen He et al. EXPERT SYSTEMS WITH APPLICATIONS
- Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information
- (2016) Wayne Xin Zhao et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Dealing with the new user cold-start problem in recommender systems: A comparative review
- (2016) Le Hoang Son INFORMATION SYSTEMS
- Jointly modeling content, social network and ratings for explainable and cold-start recommendation
- (2016) Ke Ji et al. NEUROCOMPUTING
- N -dimensional Markov random field prior for cold-start recommendation
- (2016) Furong Peng et al. NEUROCOMPUTING
- Alleviating the new user problem in collaborative filtering by exploiting personality information
- (2016) Ignacio Fernández-Tobías et al. USER MODELING AND USER-ADAPTED INTERACTION
- A survey on tag recommendation methods
- (2016) Fabiano M. Belém et al. Journal of the Association for Information Science and Technology
- Improving matrix factorization recommendations for examples in cold start
- (2015) Uroš Ocepek et al. EXPERT SYSTEMS WITH APPLICATIONS
- A systematic review of scholar context-aware recommender systems
- (2015) Zohreh Dehghani Champiri et al. EXPERT SYSTEMS WITH APPLICATIONS
- Social Recommendation with Cross-Domain Transferable Knowledge
- (2015) Meng Jiang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Simultaneous co-clustering and learning to address the cold start problem in recommender systems
- (2015) Andre Luiz Vizine Pereira et al. KNOWLEDGE-BASED SYSTEMS
- Addressing cold-start: Scalable recommendation with tags and keywords
- (2015) Ke Ji et al. KNOWLEDGE-BASED SYSTEMS
- Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information
- (2015) Nima Mirbakhsh et al. ACM Transactions on Knowledge Discovery from Data
- Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey
- (2015) Mojisola Erdt et al. IEEE Transactions on Learning Technologies
- On cold start for associative tag recommendation
- (2015) Eder F. Martins et al. Journal of the Association for Information Science and Technology
- Alleviating the cold-start problem by incorporating movies facebook pages
- (2014) Ahmad Nurzid Rosli et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Addressing the cold-start problem in location recommendation using geo-social correlations
- (2014) Huiji Gao et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Facing the cold start problem in recommender systems
- (2013) Blerina Lika et al. EXPERT SYSTEMS WITH APPLICATIONS
- An effective privacy preserving algorithm for neighborhood-based collaborative filtering
- (2013) Tianqing Zhu et al. Future Generation Computer Systems-The International Journal of eScience
- Merging trust in collaborative filtering to alleviate data sparsity and cold start
- (2013) Guibing Guo et al. KNOWLEDGE-BASED SYSTEMS
- Comparing context-aware recommender systems in terms of accuracy and diversity
- (2012) Umberto Panniello et al. USER MODELING AND USER-ADAPTED INTERACTION
- Facebook single and cross domain data for recommendation systems
- (2012) Bracha Shapira et al. USER MODELING AND USER-ADAPTED INTERACTION
- Collaborative error-reflected models for cold-start recommender systems
- (2011) Heung-Nam Kim et al. DECISION SUPPORT SYSTEMS
- A collaborative filtering approach to mitigate the new user cold start problem
- (2011) Jesús Bobadilla et al. KNOWLEDGE-BASED SYSTEMS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More