Farshad Bakhshandegan Moghaddam

According to our database, Farshad Bakhshandegan Moghaddam authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs.

Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches.

Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

2022

DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs.

Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen

Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

2021

Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019.

Jens Adamczak, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Peter Knees, Gerard Paul Leyson, Philipp Monreal

ACM Trans. Intell. Syst. Technol., 2021

Recommending Videos in Cold Start With Automatic Visual Tags.

Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Reza Hosseini, Mohammad Hossein Rimaz, Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Tammam Tillo

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Semantic Web Analysis with Flavor of Micro-Services.

Farshad Bakhshandegan Moghaddam, Carsten Felix Draschner, Jens Lehmann, Hajira Jabeen

Proceedings of the 1st Ph.D. Workshop on Big Data Analytics co-located with the 3rd International Big Data Analytics Summer School (BDA 2021), 2021

Semantic Analytics in the Palm of your Browser.

Carsten Felix Draschner, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen

Proceedings of the 1st Ph.D. Workshop on Big Data Analytics co-located with the 3rd International Big Data Analytics Summer School (BDA 2021), 2021

Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor.

Farshad Bakhshandegan Moghaddam, Carsten Draschner, Jens Lehmann, Hajira Jabeen

Proceedings of the Further with Knowledge Graphs, 2021

DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs.

Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem.

Mohammad Hossein Rimaz, Reza Hosseini, Mehdi Elahi, Farshad Bakhshandegan Moghaddam

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Visually-Aware Video Recommendation in the Cold Start.

Mehdi Elahi, Reza Hosseini, Mohammad Hossein Rimaz, Farshad Bakhshandegan Moghaddam, Christoph Trattner

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

2019

Session-Based Hotel Recommendations: Challenges and Future Directions.

Jens Adamczak, Gerard Paul Leyson, Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Julia Neidhardt, Wolfgang Wörndl, Philipp Monreal

CoRR, 2019

Exploring the Power of Visual Features for the Recommendation of Movies.

Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Predicting Movie Popularity and Ratings with Visual Features.

Farshad Bakhshandegan Moghaddam, Mehdi Elahi, Reza Hosseini, Christoph Trattner, Marko Tkalcic

Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization, 2019

RecSys challenge 2019: session-based hotel recommendations.

Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Jens Adamczak, Gerard Paul Leyson, Philipp Monreal

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

EXTRA: EXpertise-Boosted Model for Trust-Based Recommendation System Based on Supervised Random Walk.

Farshad Bakhshandegan Moghaddam, Bahram Sadeghi Bigham

Comput. Informatics, 2018

Temporal Role Annotation for Named Entities.

Maria Koutraki, Farshad Bakhshandegan Moghaddam, Harald Sack

Proceedings of the 14th International Conference on Semantic Systems, 2018

Wikipedia Infobox Type Prediction Using Embeddings.

Russa Biswas, Rima Türker, Farshad Bakhshandegan Moghaddam, Maria Koutraki, Harald Sack

Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), 2018

2017

Exploring the Semantic Gap for Movie Recommendations.

Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2016

How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?

Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, Farshad Bakhshandegan Moghaddam, Andrea Luigi Edoardo Caielli

Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

2013

Using Voronoi diagrams to solve a hybrid facility location problem with attentive facilities.

Arman Didandeh, Bahram Sadeghi Bigham, Mehdi Khosravian, Farshad Bakhshandegan Moghaddam

Inf. Sci., 2013