Dimitrios Rafailidis

发表

On Cross-Domain Transfer in Venue Recommendation

Craig MacDonald, Iadh Ounis, Jarana Manotumruksa, 2019, ECIR.

A Neural Attention Model for Adaptive Learning of Social Friends' Preferences pdf

Gerhard Weiss, Dimitrios Rafailidis, 2019, ArXiv.

Top-N Recommendation via Joint Cross-Domain User Clustering and Similarity Learning

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2016, ECML/PKDD.

Detection of Stream Segments in Symbolic Musical Data

Yannis Manolopoulos, Alexandros Nanopoulos, Emilios Cambouropoulos, 2008, ISMIR.

Multimedia Indexing, Search, and Retrieval in Large Databases of Social Networks

Michael G. Strintzis, Petros Daras, Eleftherios Tiakas, 2013, Social Media Retrieval.

Multimedia search and retrieval using multimodal annotation propagation and indexing techniques

Petros Daras, Apostolos Axenopoulos, Dimitrios Rafailidis, 2013, Signal Process. Image Commun..

Preference dynamics with multimodal user-item interactions in social media recommendation

Yannis Manolopoulos, Dimitrios Rafailidis, Pavlos Kefalas, 2017, Expert Syst. Appl..

A Data-Driven Approach for Social Event Detection

Michael G. Strintzis, Petros Daras, Theodoros Semertzidis, 2013, MediaEval.

Modeling the dynamics of user preferences in coupled tensor factorization

Alexandros Nanopoulos, Dimitrios Rafailidis, A. Nanopoulos, 2014, RecSys '14.

Multiple Random Walks for Personalized Ranking with Trust and Distrust

Fabio Crestani, Dimitrios Rafailidis, 2017, TPDL.

A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation

Fabio Crestani, Mohammad Aliannejadi, Dimitrios Rafailidis, 2019, IEEE Transactions on Knowledge and Data Engineering.

Network completion via joint node clustering and similarity learning

Fabio Crestani, Dimitrios Rafailidis, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Music search engines: Specifications and challenges

Yannis Manolopoulos, Alexandros Nanopoulos, Maria M. Ruxanda, 2009, Inf. Process. Manag..

In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content

Dimitrios Rafailidis, Stefanos Antaris, Dimitrios Rafailidis, 2018, IEEE Transactions on Big Data.

The TFC Model: Tensor Factorization and Tag Clustering for Item Recommendation in Social Tagging Systems

Petros Daras, Dimitrios Rafailidis, P. Daras, 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Matrix Factorization with Content Relationships for Media Personalization

Alexandros Nanopoulos, Ioannis Karydis, Dimitrios Rafailidis, 2013, Wirtschaftsinformatik.

Adversarial Training for Review-Based Recommendations

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2019, SIGIR.

Large-scale spectral clustering based on pairwise constraints

Petros Daras, M. G. Strintzis, Theodoros Semertzidis, 2015, Inf. Process. Manag..

Friend Recommendation in Location-Based Social Networks via Deep Pairwise Learning

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Nonlinear dimensionality reduction for efficient and effective audio similarity searching

Yannis Manolopoulos, Alexandros Nanopoulos, Dimitrios Rafailidis, 2009, Multimedia Tools and Applications.

Scalable Trajectory Similarity Search Based on Locations in Spatial Networks

Eleftherios Tiakas, Dimitrios Rafailidis, 2015, MEDI.

The influence of image descriptors’ dimensions’ value cardinalities on large-scale similarity search

Michael G. Strintzis, Petros Daras, Theodoros Semertzidis, 2015, International Journal of Multimedia Information Retrieval.

Probabilistic Matrix Factorization With Semantic And Visual Neighborhoods For Image Tag Completion

Dimitrios Rafailidis, 2015, ICMR.

Recommendation with Social Relationships via Deep Learning

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2017, ICTIR.

Learning to Rank with Trust and Distrust in Recommender Systems

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2017, RecSys.

On Estimating the Training Cost of Conversational Recommendation Systems pdf

Mohammad Aliannejadi, Dimitrios Rafailidis, Stefanos Antaris, 2020, ArXiv.

Repeat Consumption Recommendation Based on Users Preference Dynamics and Side Information

Alexandros Nanopoulos, Dimitrios Rafailidis, A. Nanopoulos, 2015, WWW.

A unified framework for multimodal retrieval

Petros Daras, Dimitrios Rafailidis, Stavroula Manolopoulou, 2013, Pattern Recognit..

Neural Attentive Cross-Domain Recommendation

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2019, ICTIR.

Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs

Fabio Crestani, Mohammad Aliannejadi, Dimitrios Rafailidis, 2017, ECIR.

Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering pdf

Gerhard Weiss, Dimitrios Rafailidis, Dimitrios Rafailidis, 2019, ArXiv.

Indexing media storms on Flink

Dimitrios Rafailidis, Stefanos Antaris, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Scalable Spectral Clustering with Weighted PageRank

Eleni Constantinou, Yannis Manolopoulos, Dimitrios Rafailidis, 2014, MEDI.

Clustering nodes with attributes via graph alignment

Dimitrios Rafailidis, Dimitrios Rafailidis, 2016, SAC.

Yannis Manolopoulos, Dimitrios Rafailidis, 2015, SAC.

Leveraging Trust and Distrust in Recommender Systems via Deep Learning pdf

Dimitrios Rafailidis, 2019, ArXiv.

"With a little help from new friends": Boosting information cascades in social networks based on link injection

Eleni Constantinou, Alexandros Nanopoulos, Dimitrios Rafailidis, 2014, J. Syst. Softw..

A Regularization Method with Inference of Trust and Distrust in Recommender Systems

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2017, ECML/PKDD.

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events pdf

Sarunas Girdzijauskas, Dimitrios Rafailidis, Stefanos Antaris, 2020, ArXiv.

Joint Collaborative Ranking with Social Relationships in Top-N Recommendation

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2016, CIKM.

The Technological Gap Between Virtual Assistants and Recommendation Systems pdf

Yannis Manolopoulos, Dimitrios Rafailidis, Y. Manolopoulos, 2018, ArXiv.

Landmark selection for spectral clustering based on Weighted PageRank

Eleni Constantinou, Yannis Manolopoulos, Dimitrios Rafailidis, 2017, Future Gener. Comput. Syst..

VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions pdf

Dimitrios Rafailidis, Stefanos Antaris, 2020, ArXiv.

Cross-Domain Collaborative Filtering via Translation-based Learning pdf

Dimitrios Rafailidis, 2019, ArXiv.

Cluster-based Joint Matrix Factorization Hashing for Cross-Modal Retrieval

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2016, SIGIR.

MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags

Panagiotis Symeonidis, Yannis Manolopoulos, Alexandros Nanopoulos, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Dimitrios Rafailidis, Stefanos Antaris, Dimitrios Rafailidis, 2015, ACM Trans. Multim. Comput. Commun. Appl..

Clustering Attributed Multi-graphs with Information Ranking

Marios D. Dikaiakos, George Pallis, Andreas Papadopoulos, 2015, DEXA.

Petros Daras, Elias N. Houstis, Apostolos Axenopoulos, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Can Virtual Assistants Produce Recommendations?

Yannis Manolopoulos, Dimitrios Rafailidis, 2019, WIMS2019.

Modeling Users Preference Dynamics and Side Information in Recommender Systems

Alexandros Nanopoulos, Dimitrios Rafailidis, A. Nanopoulos, 2016, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Collaborative Ranking with Social Relationships for Top-N Recommendations

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2016, SIGIR.

Modeling trust and distrust information in recommender systems via joint matrix factorization with signed graphs

Dimitrios Rafailidis, 2016, SAC.

Bayesian Deep Learning with Trust and Distrust in Recommendation Systems

Dimitrios Rafailidis, Dimitrios Rafailidis, 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Link injection for boosting information spread in social networks

Alexandros Nanopoulos, Dimitrios Rafailidis, Stefanos Antaris, 2014, Social Network Analysis and Mining.

Supervised Hashing Based on the Dimensions’ Value Cardinalities of Image Descriptors

Dimitrios Rafailidis, 2016, IEEE Signal Processing Letters.

Adaptive Neural Architectures for Recommender Systems pdf

Dimitrios Rafailidis, Stefanos Antaris, Dimitrios Rafailidis, 2020, ArXiv.

Now you see it, now you don’t : the Hutch diverticulum.

Dimitrios Rafailidis, Anna Charsoula, Dafni Katsiba, 2014 .

A Collaborative Ranking Model for Cross-Domain Recommendations

Fabio Crestani, Dimitrios Rafailidis, F. Crestani, 2017, CIKM.

Content-based tag propagation and tensor factorization for personalized item recommendation based on social tagging

Petros Daras, Apostolos Axenopoulos, Dimitrios Rafailidis, 2014, TIIS.

MSIDX: Multi-Sort Indexing for Efficient Content-Based Image Search and Retrieval

Petros Daras, Eleftherios Tiakas, Anastasios Dimou, 2013, IEEE Transactions on Multimedia.

GeoDCF: Deep Collaborative Filtering with Multifaceted Contextual Information in Location-Based Social Networks

Fabio Crestani, Dimitrios Rafailidis, 2018, ECML/PKDD.

Crossing the Boundaries of Communities via Limited Link Injection for Information Diffusion In Social Networks

Alexandros Nanopoulos, Dimitrios Rafailidis, 2015, WWW.

Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery

Yannis Manolopoulos, Alexandros Nanopoulos, Dimitrios Rafailidis, 2010, Int. J. Multim. Data Eng. Manag..

A Multi-Latent Transition model for evolving preferences in recommender systems

Dimitrios Rafailidis, Dimitrios Rafailidis, 2018, Expert Syst. Appl..

A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion

Fabio Crestani, Mohammad Aliannejadi, Dimitrios Rafailidis, 2018, ICTIR.

Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation pdf

Dimitrios Rafailidis, Stefanos Antaris, Dimitrios Rafailidis, 2020, 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events

Dimitrios Rafailidis, Stefanos Antaris, Romina Arriaza, 2021, ECML/PKDD.

Sequence Adaptation via Reinforcement Learning in Recommender Systems

Dimitrios Rafailidis, Stefanos Antaris, Dimitrios Rafailidis, 2021, RecSys.

Knowledge distillation on neural networks for evolving graphs

Sarunas Girdzijauskas, Dimitrios Rafailidis, Stefanos Antaris, 2021, Social Network Analysis and Mining.

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming

Sarunas Girdzijauskas, Dimitrios Rafailidis, Stefanos Antaris, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Meta-reinforcement learning via buffering graph signatures for live video streaming events

Sarunas Girdzijauskas, Dimitrios Rafailidis, Stefanos Antaris, 2021, ASONAM.