Farshad Bakhshandegan Moghaddam

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

2020

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

Visually-Aware Video Recommendation in the Cold Start Inproceedings

HT '20: 31st ACM Conference on Hypertext and Social Media, Virtual Event, USA, July 13-15, 2020, pp. 225–229, ACM, 2020.

Links | BibTeX

2019

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

ReŞys challenge 2019: session-based hotel recommendations Inproceedings

Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, pp. 570–571, ACM, 2019.

Links | BibTeX

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

Predicting Movie Popularity and Ratings with Visual Features Inproceedings

14th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2019, Larnaca, Cyprus, June 9-10, 2019, pp. 1–6, IEEE, 2019.

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

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

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.

Links | BibTeX

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

ReSys challenge 2019: session-based hotel recommendations Inproceedings

Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, pp. 570–571, ACM, 2019.

Links | BibTeX

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

RecSys challenge 2019: session-based hotel recommendations Inproceedings

Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, pp. 570–571, ACM, 2019.

Links | BibTeX

2018

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

Wikipedia Infobox Type Prediction Using Embeddings Inproceedings

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.

Links | BibTeX

Koutraki, Maria; Moghaddam, Farshad Bakhshandegan; Sack, Harald

Temporal Role Annotation for Named Entities Inproceedings

Proceedings of the 14th International Conference on Semantic Systems, SEMANTICS 2018, Vienna, Austria, September 10-13, 2018, pp. 223–234, Elsevier, 2018.

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Moghaddam, Farshad Bakhshandegan; Bigham, Bahram Sadeghi

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

Comput. Informatics, 37 (5), pp. 1209–1230, 2018.

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2017

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

Exploring the Semantic Gap for Movie Recommendations Inproceedings

Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017, pp. 326–330, ACM, 2017.

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2016

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

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

E-Commerce and Web Technologies - 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers, pp. 34–45, 2016.

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2013

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

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

Inf. Sci., 234 , pp. 203–216, 2013.

Links | BibTeX