Google Scholar makes a better job at keeping this list up to date. You can also find me on ACM DL, and DBLP.

Journal Papers

  1. A Short History of the RecSys Challenge. Alan Said. 2016. AI Magazine, Vol.36, NO.4, 2016.
  2. RiVal - A New Benchmarking Toolkit For Recommender Systems. Alan Said, Alejandro Bellogín. 2014. ERCIM News, Vol.99, 2014.
  3. Movie Recommendation in Context. Alan Said, Shlomo Berkovsky, Ernesto W. De Luca. 2013. ACM Trans. Intell. Syst. Technol. (TIST), Vol.4, NO.1, 2013

Conference Publications

  1. User Nutrition Modelling and Recommendation - Balancing Simplicity and Complexity. H. Schaefer, M. Elahi, D. Elsweiler, G. Groh, M. Harvey, B. Ludwig, F. Ricci, A. Said. 2017. ACM UMAP
  2. Towards Health (Aware) Recommender Systems. H. Schaefer, S. Hors-Fraile, R. Karumur, A. Calero Valdez, and A. Said, H. Torkamaan, T. Ulmer, and C. Trattner. 2017. ACM Digital Health
  3. Predicting Cyber Vulnerability Exploits with Machine Learning. Michel Edkrantz, and Alan Said. 2015. SCAI 2015: 48-57
  4. Predicting Vulnerability Exploits in the Wild. Michel Edkrantz, Staffan Truvé, and Alan Said. 2015. CSCloud 2015: 513-514
  5. Comparative Recommender System Evaluation: Benchmarking Recommendation Frameworks. Alan Said, Alejandro Bellogín. 2014. ACM RecSys 2014: 129-136
  6. RiVal – A Toolkit to Foster Reproducibility in Recommender System Evaluation. Alan Said, Alejandro Bellogín. 2014. RecSys 2014.
  7. `Free Lunch’ Enhancement for Collaborative Filtering with Factorization Machines. Babak Loni, Martha Larson, Alan Said, Alan Hanjalic. 2014. ACM RecSys 2014: 281-284.
  8. WrapRec: An Easy Extension of Recommender System Libraries. Babak Loni, Alan Said. 2014. RecSys 2014.
  9. An Extended Data Model Format for Composite Recommendation. Alan Said, Babak Loni, Roberto Turrin, Andreas Lommatzsch. 2014. RecSys 2014.
  10. Comparative evaluation of recommender systems for digital media. Domonkos Tikk, Roberto Turrin, Martha Larson, David Zibriczky, Davide Malagolo, Alan Said, Andreas Lommatzsch, Viktor Gál, Sandor Székely. 2014. IBC 2014.
  11. The Magic Barrier of Recommender Systems - No Magic, Just Ratings. Alejandro Bellogín, Alan Said, Arjen P De Vries. 2014. UMAP 2014
  12. Do Recommendations Matter? – News Recommendation IRL. Alan Said, Alejandro Bellogín, Jimmy Lin, Arjen de Vries. 2014. CSCW 2014.
  13. Information Retrieval and User-Centric Recommender System Evaluation. Alan Said, Alejandro Bellogín, Arjen de Vries, Benjami Kille.
  14. User-Centric Evaluation of a K-Furthest Neighbor Collaborative Filtering Recommender Algorithm. Alan Said, Benjamin Fields, Brijnesh-Johannes Jain. 2013. ACM CSCW 2013.
  15. Correlating Perception-Oriented Aspects in User-Centric Recommender System Evaluation. Alan Said, Brijnesh J. Jain, Andreas Lommatzsch, Sahin Albayrak. 2012. ACM IIiX 2012. Best Poster Nomination
  16. A 3D Approach to Recommender System Evaluation. Alan Said, Brijnesh J. Jain. 2013. CSCW 2013.
  17. Users and Noise: The Magic Barrier of Recommender Systems. Alan Said, Brijnesh-Johannes Jain, Sascha Narr, Till Plumbaum. 2012. UMAP 2012. Springer Best Paper Award
  18. Estimating the Magic Barrier of Recommender Systems: A User Study. Alan Said, Brijnesh J. Jain, Sascha Narr, Till Plumbaum, Sahin Albayrak, Christian Scheel. 2012. ACM SIGIR 2012.
  19. Analyzing Weighting Schemes in Collaborative Filtering: Cold Start, Post Cold Start and Power Users. Alan Said, Brijnesh J. Jain. 2012. ACM SAC 2012.
  20. KMulE: A Framework for User-based Comparison of Recommender Algorithms. Alan Said, Ernesto W. De Luca, Benjamin Kille, Brijnesh J. Jain, Immo Micus, Sahin Albayrak. 2012. ACM IUI 2012.
  21. Identifying and Utilizing Contextual Data in Hybrid Recommender Systems. Alan Said. 2010. RecSys 2010.
  22. A Comparison of How Demographic Data Affects Recommendation. Alan Said, Till Plumbaum, Ernesto W. De Luca, Sahin Albayrak. 2011. UMAP 2011.

Workshop Publications

  1. A Billiard Metaphor for Exploring Complex Graphs. Elio Ventocilla, Juhee Bae, Maria Riveiro, Alan Said. 2017. Supporting Complex Search Tasks 2017.
  2. Recommending Recipes for Balanced Nutrition. David Elsweiler, Morgan Harvey, Alan Said, Bernd Ludwig. 2015. Beyond Health 2015.
  3. Bringing the “healthy” into Foor Recommenders David Elsweiler, Morgan Harvey, Bernd Ludwig, Alan Said. 2015. DMRS 2015: 33-36
  4. You Are What You Eat! Tracking Health Through Recipe Interactions. Alan Said, Alejandro Bellogín. 2014. RSWeb 2014.
  5. A Top-N Recommender System Evaluation Protocol Inspired by Deployed Systems. Alan Said, Alejandro Bellogín, Arjen P De Vries. 2013. LSRS 2013. pdf
  6. Activating the Crowd: Exploiting User-Item Reciprocity for Recommendation. Martha Larson, Alan Said, Yue Shi, Paolo Cremonesi, Domonkos Tikk, Alexandros Karatzoglou. 2013. CrowdRec 2013.
  7. A Month in the Life of a Production News Recommender System. Alan Said, Jimmy Lin, Alejandro Bellogín, Arjen P De Vries. 2013. LivingLab 2013.
  8. Recommender Systems Evaluation: A 3D Benchmark. Alan Said, Domonkos Tikk, Klara Stumpf, Yue Shi, Martha Larson, Paolo Cremonesi. 2012. RUE 2012.
  9. Semantic Preference Retrieval for Querying Knowledge Bases. Christian Scheel, Alan Said, Sahin Albayrak. 2012. JIWES 2012.
  10. Increasing Diversity Through Furthest Neighbor-Based Recommendation. Alan Said, Brijnesh J. Jain, Benjamin Kile, Sahin Albayrak. 2012. DDR 2012.
  11. Group Recommendation in Context. Alan Said, Shlomo Berkovsky, Ernesto W. De Luca. 2011. CAMRa 2011.
  12. Personalizing Tags: A Folksonomy-like Approach for Recommending Movies. Alan Said, Ernesto W. De Luca. 2011. HetRec 2011.
  13. Inferring Contextual User Profiles - Improving Recommender Performance. Alan Said, Ernesto W. De Luca. 2011. CARS 2011.
  14. Using Social and Pseudo Social Networks for Improved Recommendation Quality. Alan Said, Ernesto W. De Luca, Sahin Albayrak. 2011. ITWP 2011.
  15. Putting things in context. Alan Said, Shlomo Berkovsky, Ernesto W. De Luca. 2010. CAMRa 2010.
  16. Exploiting hierarchical tags for context-awareness Alan Said, Jerome Kunegis, Ernesto W. De Luca. 2010. ESAIR 2010.
  17. How social relationships affect user similarities. Alan Said, Ernesto W. De Luca. 2010. SRS 2010.
  18. Understanding the user: Personomy translation for tag-recommendation. Robert Wetzker, Alan Said, Carsten Zimmermann. 2009. ECML-PKDD DC 2009.
  19. A Hybrid PLSA Approach for Warmer Cold Start in Folksonomy Recommendation. Alan Said, Robert Wetzker, Winfried Umbrath, Leonhard Hennig. 2009. RSWeb 2009.
  20. A hybrid approach to item recommendation in folksonomies. Robert Wetzker, Winfried Umbrath, Alan Said. 2009. ESAIR 2009.

Edited Volumes

  1. Proceedings of the ACM RecSys Challenge 2014. Alan Said, Simon Dooms, Babak Loni, Domonkos Tikk. 2014. ACM RecSys.
  2. Proceedings of the 4th Workshop on Context-awareness in Retrieval and Recommendation. Alan Said, Ernesto W. De Luca, Daniele Quercia, Mathias Böhmer. 2014. ECIR.
  3. Proceedings of the Workshop on reproducibility and replication in recommender systems. Alejandro Bellogín, Pablo Castells, Alan Said, Domonkos Tikk. 2013. ACM RecSys.
  4. Proceedings of the 3rd Workshop on Context-awareness in Retrieval and Recommendation. Mathias Böhmer, Ernesto W. De Luca, Alan Said, Jaime Teevan. 2013. ACM WSDM.
  5. Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation. Ernesto W. De Luca, Mathias Böhmer, Alan Said, Ed Chi. 2012. ACM IUI.
  6. Proceedings of the 2011 Challenge on Context-aware Movie Recommendation. Alan Said, Ernesto W. De Luca, Shlomo Berkovsky, Jannis Hermanns. 2011. ACM RecSys.
  7. Proceedings of the Workshop on Context-awareness in Retrieval and Recommendation. Ernesto W. De Luca, Mathias Böhmer, Alan Said, Florian Michahelles. 2011. ACM IUI.
  8. Proceedings of the 2010 Challenge on Context-aware Movie Recommendation. Alan Said, Ernesto W. De Luca, Shlomo Berkovsky, Jannis Hermanns. 2011. ACM RecSys.

Books, book chapters, and theses

  1. Benchmarking: A Methodology for Ensuring the Relative Quality of a Recommendation System for Software Engineering. Alan Said, Domonkos Tikk, Paolo Cremonesi. Book chapter: Recommendation Systems in Software Engineering, eds. M.P. Robillard, W. Maalej, R.J. Walker, T. Zimmerman. Springer. 2014, Berlin, Germany
  2. Evaluating the Accuracy and Utility of Recommender Systems. Alan Said. Thesis for the degree Doktor der Ingenieurwissenschaften. TU Berlin, 2013, Berlin, Germany

Abstracts

  1. Tutorial on Replicable Evaluation of Recommender Systems. Alan Said, Alejandro Bellogín. 2015. ACM RecSys.
  2. Tutorial on The Challenge of Recommender Systems Challenges. Alan Said, Domonkos Tikk, Andreas Hotho. 2012. ACM RecSys

Other Publications

  1. The Not-so-Magic Magic Barrier of Recommender Systems. Alejandro Bellogín, and Alan Said. 2015. TinyToCS 3
  2. Non-transparent recommender system evaluation leads to misleading results. Alan Said, and Alejandro Bellogín. 2015. TinyToCS 3