Dimitrios Rafailidis

Orcid: 0000-0002-7366-3716

According to our database1, Dimitrios Rafailidis authored at least 73 papers between 2008 and 2023.

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Bibliography

2023
Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction.
CoRR, 2023

2021
Knowledge distillation on neural networks for evolving graphs.
Soc. Netw. Anal. Min., 2021

Sequence Adaptation via Reinforcement Learning in Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Multi-task Learning for User Engagement and Adoption in Live Video Streaming Events.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Meta-reinforcement learning via buffering graph signatures for live video streaming events.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation.
IEEE Trans. Knowl. Data Eng., 2020

Adaptive Neural Architectures for Recommender Systems.
CoRR, 2020

On Estimating the Training Cost of Conversational Recommendation Systems.
CoRR, 2020

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Cross-Domain Collaborative Filtering via Translation-based Learning.
CoRR, 2019

Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering.
CoRR, 2019

A Neural Attention Model for Adaptive Learning of Social Friends' Preferences.
CoRR, 2019

Leveraging Trust and Distrust in Recommender Systems via Deep Learning.
CoRR, 2019

The Technological Gap Between Virtual Assistants and Recommendation Systems.
CoRR, 2019

Can Virtual Assistants Produce Recommendations?
Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, 2019

Bayesian Deep Learning with Trust and Distrust in Recommendation Systems.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Adversarial Training for Review-Based Recommendations.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Attentive Cross-Domain Recommendation.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

On Cross-Domain Transfer in Venue Recommendation.
Proceedings of the Advances in Information Retrieval, 2019

2018
In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content.
IEEE Trans. Big Data, 2018

A Multi-Latent Transition model for evolving preferences in recommender systems.
Expert Syst. Appl., 2018

GeoDCF: Deep Collaborative Filtering with Multifaceted Contextual Information in Location-Based Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Friend Recommendation in Location-Based Social Networks via Deep Pairwise Learning.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Landmark selection for spectral clustering based on Weighted PageRank.
Future Gener. Comput. Syst., 2017

Preference dynamics with multimodal user-item interactions in social media recommendation.
Expert Syst. Appl., 2017

Learning to Rank with Trust and Distrust in Recommender Systems.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

A Regularization Method with Inference of Trust and Distrust in Recommender Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Recommendation with Social Relationships via Deep Learning.
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

Multiple Random Walks for Personalized Ranking with Trust and Distrust.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs.
Proceedings of the Advances in Information Retrieval, 2017

A Collaborative Ranking Model for Cross-Domain Recommendations.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Modeling Users Preference Dynamics and Side Information in Recommender Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Similarity Search of Flexible 3D Molecules Combining Local and Global Shape Descriptors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Supervised Hashing Based on the Dimensions' Value Cardinalities of Image Descriptors.
IEEE Signal Process. Lett., 2016

Collaborative Ranking with Social Relationships for Top-N Recommendations.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Cluster-based Joint Matrix Factorization Hashing for Cross-Modal Retrieval.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Modeling trust and distrust information in recommender systems via joint matrix factorization with signed graphs.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Clustering nodes with attributes via graph alignment.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Top-N Recommendation via Joint Cross-Domain User Clustering and Similarity Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Joint Collaborative Ranking with Social Relationships in Top-N Recommendation.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Network completion via joint node clustering and similarity learning.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Similarity Search over the Cloud Based on Image Descriptors' Dimensions Value Cardinalities.
ACM Trans. Multim. Comput. Commun. Appl., 2015

Large-scale spectral clustering based on pairwise constraints.
Inf. Process. Manag., 2015

The influence of image descriptors' dimensions' value cardinalities on large-scale similarity search.
Int. J. Multim. Inf. Retr., 2015

Repeat Consumption Recommendation Based on Users Preference Dynamics and Side Information.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Crossing the Boundaries of Communities via Limited Link Injection for Information Diffusion In Social Networks.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Parallel similarity search based on the dimensions value cardinalities of image descriptor vectors.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Probabilistic Matrix Factorization With Semantic And Visual Neighborhoods For Image Tag Completion.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Scalable Trajectory Similarity Search Based on Locations in Spatial Networks.
Proceedings of the Model and Data Engineering - 5th International Conference, 2015

Clustering Attributed Multi-graphs with Information Ranking.
Proceedings of the Database and Expert Systems Applications, 2015

Indexing media storms on Flink.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Content-based tag propagation and tensor factorization for personalized item recommendation based on social tagging.
ACM Trans. Interact. Intell. Syst., 2014

Link injection for boosting information spread in social networks.
Soc. Netw. Anal. Min., 2014

"With a little help from new friends": Boosting information cascades in social networks based on link injection.
J. Syst. Softw., 2014

Modeling the dynamics of user preferences in coupled tensor factorization.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Scalable Spectral Clustering with Weighted PageRank.
Proceedings of the Model and Data Engineering - 4th International Conference, 2014

2013
Multimedia Indexing, Search, and Retrieval in Large Databases of Social Networks.
Proceedings of the Social Media Retrieval, 2013

The TFC Model: Tensor Factorization and Tag Clustering for Item Recommendation in Social Tagging Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2013

MSIDX: Multi-Sort Indexing for Efficient Content-Based Image Search and Retrieval.
IEEE Trans. Multim., 2013

Multimedia search and retrieval using multimodal annotation propagation and indexing techniques.
Signal Process. Image Commun., 2013

A unified framework for multimodal retrieval.
Pattern Recognit., 2013

Matrix Factorization with Content Relationships for Media Personalization.
Proceedings of the 11. Internationale Tagung Wirtschaftsinformatik, 2013

A Data-Driven Approach for Social Event Detection.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

2011
Μέθοδοι ανάλυσης και ανάκτησης σε μουσικές βάσεις δεδομένων
PhD thesis, 2011

Nonlinear dimensionality reduction for efficient and effective audio similarity searching.
Multim. Tools Appl., 2011

2010
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags.
IEEE Trans. Speech Audio Process., 2010

Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery.
Int. J. Multim. Data Eng. Manag., 2010

2009
Music search engines: Specifications and challenges.
Inf. Process. Manag., 2009

2008
Detection of Stream Segments in Symbolic Musical Data.
Proceedings of the ISMIR 2008, 2008


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