PhD Student
Computer Science Institute
University of Bonn
Profiles: DBLP
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science
Short CV
Farshad Bakhshandegan Moghaddam is a PhD student at the University of Bonn in Smart Data Analytics (SDA). His research interests are in the area of Machine Learning, Recommendation Systems, and Semantic Web. He got his bachelor in Information Technology and his master’s in Computer Science from the Institute for Advanced Studies in Basic Sciences (IASBS).
Research Interests
- Machine Learning
- Recommendation Systems
- Knowledge Graphs
Projects
Publications
2022
DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs Proceedings Article
In: 16th IEEE International Conference on Semantic Computing, ICSC 2022, Laguna Hills, CA, USA, January 26-28, 2022, pp. 243–250, IEEE, 2022.
2021
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs Proceedings Article
In: CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, pp. 4465–4474, ACM, 2021.
Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor Proceedings Article
In: Further with Knowledge Graphs - Proceedings of the 17th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, The Netherlands, September 6-9, 2021, pp. 74–88, IOS Press, 2021.
Recommending Videos in Cold Start With Automatic Visual Tags Proceedings Article
In: Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June 21-25, 2021, pp. 54–60, ACM, 2021.
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019 Journal Article
In: ACM Trans. Intell. Syst. Technol., vol. 12, no. 1, pp. 1:1–1:20, 2021.
2020
Visually-Aware Video Recommendation in the Cold Start Proceedings Article
In: HT '20: 31st ACM Conference on Hypertext and Social Media, Virtual Event, USA, July 13-15, 2020, pp. 225–229, ACM, 2020.
AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem Proceedings Article
In: Service-Oriented Computing - ICSOC 2020 Workshops - AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events, Dubai, United Arab Emirates, December 14-17, 2020, Proceedings, pp. 365–378, Springer, 2020.
2019
Rec Sys challenge 2019: session-based hotel recommendations Proceedings Article
In: Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, pp. 570–571, ACM, 2019.
Rec Sys challenge 2019: session-based hotel recommendations Proceedings Article
In: Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, pp. 570–571, ACM, 2019.
Predicting Movie Popularity and Ratings with Visual Features Proceedings Article
In: 14th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2019, Larnaca, Cyprus, June 9-10, 2019, pp. 1–6, IEEE, 2019.
Exploring the Power of Visual Features for the Recommendation of Movies Proceedings Article
In: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2019, Larnaca, Cyprus, June 9-12, 2019, pp. 303–308, ACM, 2019.
2018
Wikipedia Infobox Type Prediction Using Embeddings Proceedings Article
In: 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), Heraklion, Crete, Greece, June 4, 2018, pp. 46–55, CEUR-WS.org, 2018.
Temporal Role Annotation for Named Entities Proceedings Article
In: Proceedings of the 14th International Conference on Semantic Systems, SEMANTiCS 2018, Vienna, Austria, September 10-13, 2018, pp. 223–234, Elsevier, 2018.
EXTRA: EXpertise-Boosted Model for Trust-Based Recommendation System Based on Supervised Random Walk Journal Article
In: Comput. Informatics, vol. 37, no. 5, pp. 1209–1230, 2018.
2017
Exploring the Semantic Gap for Movie Recommendations Proceedings Article
In: Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017, pp. 326–330, ACM, 2017.
2016
How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy? Proceedings Article
In: E-Commerce and Web Technologies - 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers, pp. 34–45, 2016.
2013
Using Voronoi diagrams to solve a hybrid facility location problem with attentive facilities Journal Article
In: Inf. Sci., vol. 234, pp. 203–216, 2013.