Paper-Conference

Understanding Fairness Metrics in Recommender Systems: A Healthcare Perspective
Fairness in AI-driven decision-making systems has become a critical concern, especially when these systems directly affect human lives. …
Veronica Kecki, Alan Said
Cite preprint
Understanding Fairness Metrics in Recommender Systems: A Healthcare Perspective
From Clicks to Carbon: The Environmental Toll of Recommender Systems
As global warming soars, evaluating the environmental impact of research is more critical now than ever before. However, we find that …
Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
Cite preprint
From Clicks to Carbon: The Environmental Toll of Recommender Systems
Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems
The adoption of recommender systems (RSs) in various domains has become increasingly popular, but concerns have been raised about their …
Itallo Silva, Leandro Balby Marinho, Alan Said, Martijn Willemsen
Cite DOI preprint
Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems
Trust Through Recommendation in E-commerce
We explore the influence of recommender systems on trust among consumers in the fashion e-commerce domain. Anchoring on the Trust …
Maria Saxborn, Yuechen Pan, Alan Said
Cite DOI preprint
Trust Through Recommendation in E-commerce
Leveraging Large Language Models for Goal-driven Interactive Recommendations
We present a proof of concept application for interactive recommendations and explanations leveraging the capabilities of Large …
Alan Said, Martijn C. Willemsen, Leandro Balby Marinho, Itallo Silva
Cite Poster ACM DOI
Leveraging Large Language Models for Goal-driven Interactive Recommendations
Leveraging Large Language Models for Recommendation and Explanation
We demonstrate a proof of concept web application that recommends movies and generates explanations for the recommendations using Large …
Itallo Silva, Alan Said, Leandro Balby Marinho, Martijn Willemsen
PDF Cite
Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)
Evaluation is important when developing and deploying recommender systems. The PERSPECTIVES workshop sheds light on the different, …
Alan Said, Eva Zangerle, Christine Bauer
Cite DOI URL
Social Drones for Health and Well-being
Drone activities in our daily lives are on the rise, so is the need to advance research on how to design drones that can interact with …
Mohammad Obaid, Kıvanç Tatar, Mikael Wiberg, Alan Said, Mattias Rost, Alexandra Weilenmann, Wafa Johal, Friederike Eyssel
Cite DOI URL
Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)
Evaluation of recommender systems is a central activity when developing recommender systems, both in industry and academia. The second …
Eva Zangerle, Christine Bauer, Alan Said
Cite DOI URL
Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)
Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together …
Eva Zangerle, Christine Bauer, Alan Said
Cite DOI URL
Prediction Accuracy and Autonomy
The tech industry has been criticised for designing applications that undermine individuals’ autonomy. Recommender systems, in …
Anton Angwald, Kalle Areskoug, Alan Said
Cite DOI URL
Fifth International Workshop on Health Recommender Systems (HealthRecSys 2020)
HealthRecSys 2020 was the 5th International Workshop on Health Recommender Systems held in conjunction with the 14th ACM Conference on …
Alan Said, H. Schäfer, H. Torkamaan, C. Trattner
Cite DOI
Eliciting structure in data
This paper demonstrates how to explore and visualize different types of structure in data, including clusters, anomalies, causal …
A. Holst, M.-R. Bouguelia, O. Görnerup, S. Pashami, A. Al-Shishtawy, G. Falkman, A. Karlsson, Alan Said, J. Bae, S. Girdzijauskas, S. Nowaczyk, A. Soliman
PDF Cite
Fourth international workshop on health recommender systems (HealthRecSys 2019)
HealthRecSys 2019 was the 4th International Workshop on Health Recommender Systems held in conjunction with the 2019 ACM Conference on …
D. Elsweiler, H. Schäfer, B. Ludwig, H. Torkamaan, Alan Said, C. Trattner
Cite DOI
IDM-WSDM 2019: Workshop on interactive data mining
The first Workshop on Interactive Data Mining is held in Melbourne, Australia, on February 15, 2019 and is co-located with 12th ACM …
Alan Said, J. Bae, D. Parra, S. Pashami
Cite DOI
2nd workshop on recommendation in complex scenarios (complexrec 2018)
Over the past decade, recommendation algorithms for ratings prediction and item ranking have steadily matured. However, these …
Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Casper Petersen
Cite DOI URL
Third international workshop on health recommender systems (healthrecsys 2018)
The 3rd International Workshop on Health Recommender Systems was held in conjunction with the 2018 ACM Conference on Recommender …
David Elsweiler, Bernd Ludwig, Alan Said, Hanna Schäfer, Helma Torkamaan, Christoph Trattner
Cite DOI URL
Towards Health (Aware) Recommender Systems
People increasingly use the Internet for obtaining information regarding diseases, diagnoses and available treatments. Currently, many …
Hanna Schäfer, Santiago Hors-Fraile, Raghav Pavan Karumur, André Calero Valdez, Alan Said, Helma Torkamaan, Tom Ulmer, Christoph Trattner
Cite DOI URL
A billiard metaphor for exploring complex graphs
Exploring and revealing relations between the elements is a frequent task in exploratory analysis and search. Examples include that of …
E. Ventocilla, J. Bae, M. Riveiro, Alan Said
PDF Cite
Second workshop on health recommender systems (HealthRecSys 2017)
The 2017 Workshop on Health Recommender Systems was held in conjunction with the 2017 ACM Conference on Recommender Systems in Como, …
D. Elsweiler, S. Hors-Fraile, B. Ludwig, Alan Said, H. Schäfer, C. Trattner, H. Torkamaan, A.C. Valdez
Cite DOI
UMAP 2017 workshop on surprise, opposition, and obstruction in adaptive and type: publication profile: false personalized systems: Organizers' welcome
P. Knees, K. Andersen, Alan Said, M. Tkalčič
Jan 1, 2017
Cite
User nutrition modelling and recommendation - Balancing simplicity and complexity
In order to use and model nutritional knowledge in a food recommender system, uncertainties regarding the users nutritional state and …
H. Schäfer, M. Elahi, D. Elsweiler, G. Groh, M. Harvey, B. Ludwig, F. Ricci, Alan Said
Cite DOI
Engendering health with recommender systems: Workshop abstract
The first Workshop on Engendering Health with Recom- mender Systems was organized in conjunction with ACM RecSys 2016. The focus of the …
D. Elsweiler, B. Ludwig, Alan Said, H. Schäfer, C. Trattner
Cite DOI
Predicting Vulnerability Exploits in the Wild
Every day numerous new vulnerabilities and exploits are reported for a wide variety of different software configurations. There is a …
M. Edkrantz, S. Truve, Alan Said
Cite DOI
Workshop on surprise, opposition, and obstruction in adaptive and personalized
The phenomenon often referred to as the “filter-bubble,” i.e., the effect that collaborative, as well as content-based recommender …
P. Knees, K. Andersen, Alan Said, M. Tkalčič
Cite
5th Workshop on Context-Awareness in Retrieval and Recommendation
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …
Ernesto William De Luca, Alan Said, Fabio Crestani, David Elsweiler
Cite DOI
Bringing the "healthy" into food recommenders
In this position statement we have discussed recommender systems in the con-text of healthy nutrition. Although recommender systems …
D. Elsweiler, M. Harvey, B. Ludwig, Alan Said
PDF Cite
Predicting Cyber Vulnerability Exploits with Machine Learning
For an information security manager it can be a daunting task to keep up and assess which new cyber vulnerabilities to prioritize …
Michel Edkrantz, Alan Said
Cite DOI URL
Replicable evaluation of recommender systems
Recommender systems research is by and large based on comparisons of recommendation algorithms’ predictive accuracies: the better …
Alan Said, A. Bellogín
Cite DOI
4th Workshop on Context-Awareness in Retrieval and Recommendation
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …
Alan Said, Ernesto William De Luca, Daniele Quercia, Matthias Böhmer
Cite DOI
An extended data model format for composite recommendation
Current de facto data model standards in the recommender systems field do not support easy encoding of heterogeneous data aspects such …
Alan Said, B. Loni, R. Turrin, A. Lommatzsch
Cite
Challenges on Combining Open Web and Dataset Evaluation Results: The Case type: publication profile: false of the Contextual Suggestion Track
The TREC 2013 Contextual Suggestion Track allowed participants to submit personalised rankings using documents either from the OpenWeb …
Alejandro Bellogín, Thaer Samar, Arjen P. De Vries, Alan Said
Jan 1, 2014
Cite DOI
Comparative evaluation of recommender systems for digital media
TV operators and content providers use recommender systems to connect consumers directly with content that fits their needs, their …
D. Tikk, R. Turrin, M. Larson, D. Zibriczky, D. Malagoli, Alan Said, A. Lommatzsch, V. Gál, S. Székely
Cite DOI URL
Comparative recommender system evaluation: Benchmarking recommendation frameworks
Recommender systems research is often based on comparisons of predictive accuracy: the better the evaluation scores, the better the …
Alan Said, A. Bellogín
Cite DOI
Do recommendations matter? News recommendation in real life
We present a study of how recommendations are received in real life by users across different news domains (traditional online …
Alan Said, A. Bellogín, J. Lin, A. De Vries
Cite DOI
Free lunch enhancement for collaborative filtering with factorization machines
The advantage of Factorization Machines over other factorization models is their ability to easily integrate and efficiently exploit …
B. Loni, Alan Said, M. Larson, A. Hanjalic
Cite DOI
Recommender systems challenge 2014
The 2014 ACM Recommender Systems Challenge invited re- searchers and practitioners to work towards a common goal, this goal being the …
Alan Said, S. Dooms, B. Loni, D. Tikk
Cite DOI
RiVal - A toolkit to foster reproducibility in recommender system evaluation
Currently, it is diffcult to put in context and compare the results from a given evaluation of a recommender system, mainly because too …
Alan Said, A. Bellogín
Cite DOI
The Magic Barrier of Recommender Systems – No Magic, Just Ratings
Recommender Systems need to deal with different types of users who represent their preferences in various ways. This difference in user …
Alejandro Bellogín, Alan Said, Arjen P. De Vries
Cite DOI
User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd
Alan Said, Martha Larson, Domonkos Tikk, Paolo Cremonesi, Alexandros Karatzoglou, Frank Hopfgartner, Roberto Turrin, Joost Geurts
Cite
WrapRec: An easy extension of recommender system libraries
WrapRec is an easy-to-use Recommender Systems toolkit which allows users to easily implement or wrap recommen- dation algorithms from …
B. Loni, Alan Said
Cite DOI
You are What You Eat! Tracking Health Through Recipe Interactions.
On today’s World Wide Web, social recommender systems have become a commodity regardless of application domain. Even tangible items …
Alan Said, Alejandro Bellogín
PDF Cite
A month in the life of a production news recommender system
During the last decade, recommender systems have become a ubiquitous feature in the online world. Research on systems and algorithms in …
Alan Said, Jimmy Lin, Alejandro Bellogín, Arjen De Vries
Cite DOI URL
A Top-N Recommender System Evaluation Protocol Inspired by Deployed Systems
The evaluation of recommender systems is crucial for their development. In today’s recommendation landscape there are many …
Alan Said, Alejandro Bellogín Kouki, Arjen De Vries
Cite URL
Activating the Crowd: Exploiting User-Item Reciprocity for Recommendation
Recommender systems have always faced the problem of sparse data. In the current era, however, with its demand for highly personalized, …
Martha Larson, Alan Said, Yue Shi, Paolo Cremonesi, Domonkos Tikk, Alexandros Karatzoglou, Linas Baltrunas, Jozef Geurts, Xavi Anguera, Frank Hopfgartner
Cite DOI URL
Workshop on reproducibility and replication in recommender systems evaluation
Experiment replication and reproduction are key requirements for empirical research methodology, and an important open issue in the …
Alejandro Bellogin, Pablo Castells, Alan Said, Domonkos Tikk
Cite DOI URL
Workshop on benchmarking adaptive retrieval and recommender systems
Evaluating adaptive and personalized information retrieval tech-niques is known to be a difficult endeavor. The rapid evolution of …
Pablo Castells, Frank Hopfgartner, Alan Said, Mounia Lalmas
Cite DOI URL
User-centric evaluation of a K-furthest neighbor collaborative filtering recommender
Collaborative filtering recommender systems often use nearest neighbor methods to identify candidate items. In this paper we present an …
Alan Said, Ben Fields, Brijnesh J. Jain, Sahin Albayrak
Cite DOI URL
3rd Workshop on context-awareness in retrieval and recommendation
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …
M. Böhmer, E.W. De Luca, Alan Said, J. Teevan
Cite DOI
A 3D approach to recommender system evaluation
In this work we describe an approach at multi-objective recommender system evaluation based on a previously introduced 3D benchmarking …
Alan Said, S. Albayrak, B.J. Jain
Cite DOI
CWI and TU Delft notebook TREC 2013: Contextual suggestion, federated web type: publication profile: false search, KBA, and web tracks
This paper provides an overview of the work done at the Centrum Wiskunde & Informatica (CWI) and Delft University of Technology (TU …
A Bellogín, G Gebremeskel, J H, J Lin, A Said, T Samar, AP De Vries, JBP Vuurens
Jan 1, 2013
Cite
Information retrieval and user-centric recommender system evaluation
Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the …
Alan Said, A. Bellogín, A. De Vries, B. Kille
PDF Cite
News Recommendation in the Wild: CWI's Recommendation Algorithms in the NRS type: publication profile: false Challenge
This work presents the recommendation algorithms deployed by the winning team (recomenders.net) in the ACM RecSys 2013 News Recommender …
Alan Said, Alejandro Bellogín, Arjen De Vries
Jan 1, 2013
Cite
The 3rd workshop on context-awareness in retrieval and recommendation (CaRR 2013)
M. Böhmer, E.W. De Luca, Alan Said, J. Teevan
Cite DOI
2nd workshop on context-awareness in retrieval and recommendation
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …
E.W. De Luca, M. Böhmer, Alan Said, E. Chi
Cite DOI
Analyzing weighting schemes in collaborative filtering: Cold start, post cold type: publication profile: false start and power users
Collaborative filtering recommender systems provide their users with relevant items based on information from other similar users. …
Alan Said, B.J. Jain, S. Albayrak
Jan 1, 2012
Cite DOI
Correlating perception-oriented aspects in user-centric recommender system
Research on recommender systems evaluation generally measures the quality of the algorithm, or system, offline, i.e. based on some …
Alan Said, B.J. Jain, A. Lommatzsch, S. Albayrak
Cite DOI
Estimating the magic barrier of recommender systems: A user study
Recommender systems are commonly evaluated by trying to predict known, withheld, ratings for a set of users. Measures such as the …
Alan Said, B.J. Jain, S. Narr, T. Plumbaum, S. Albayrak, C. Scheel
Cite DOI
KMulE: A framework for user-based comparison of recommender algorithms
Collaborative Filtering Recommender Systems come in a wide variety of variants. In this paper we present a system for visualizing and …
Alan Said, E.W. De Luca, B. Kille, B. Jain, I. Micus, S. Albayrak
Cite DOI
Recommender systems challenge 2012
The Recommender System Challenge 2012 invited participants to work on two tracks with real-world datasets and to submit their …
N. Manouselis, J. Hermanns, Alan Said, B. Kille, D. Tikk, H. Drachsler, K. Verbert, K. Jack
Cite DOI
Recommender systems evaluation: A 3D benchmark
Recommender systems add value to vast content resources by matching users with items of interest. In recent years, immense progress has …
Alan Said, D. Tikk, Y. Shi, M. Larson, K. Stumpf, P. Cremonesi
Cite URL
Semantic preference retrieval for querying knowledge bases
This work deals with the problem of automatically creating semantic queries for knowledge bases from preference feedback. Semantic …
C. Scheel, Alan Said, S. Albayrak
Cite DOI
The 2nd Workshop on Context-awareness in Retrieval and Recommendation (CaRR 2012)
E.W. De Luca, M. Böhmer, Alan Said, E.H. Chi
Cite DOI
The challenge of recommender systems challenges
Recommender System Challenges such as the Netix Prize, KDD Cup, etc. have contributed vastly to the development and adoptability of …
Alan Said, D. Tikk, A. Hotho
Cite DOI
Users and noise: The magic barrier of recommender systems
Recommender systems are crucial components of most commercial web sites to keep users satisfied and to increase revenue. Thus, a lot of …
Alan Said, B.J. Jain, S. Narr, T. Plumbaum
Cite DOI
Challenge on context-aware movie recommendation
This paper provides an overview of CAMRa2011, the second edition of the Challenge on Context-Aware Movie Recommendation. The challenge …
Alan Said, Shlomo Berkovsky, Ernesto William De Luca, Jannis Hermanns
Cite DOI URL
Inferring Contextual User Profiles - Improving Recommender Performance
In this paper we present the concept of inferred contextual user profiles (CUPs) which extends the traditional user profile definition …
Alan Said, Ernesto W. De Luca, Sahin Albayrak
PDF Cite
Personalizing tags
Movie recommender systems attempt to find movies which are of interest for their users. However, as new movies are added, and new users …
Alan Said, Benjamin Kille, Ernesto W. De Luca, Sahin Albayrak
Cite DOI URL
Using Social and Pseudo-Social Networks for Improved Recommendation Quality
Recommender systems attempt to find relevant data for their users. As the body of data available in the Web sphere becomes larger, this …
Alan Said
Cite
Workshop on context-awareness in retrieval and recommendation
Context-aware information is widely available in various ways such as interaction patterns, location, devices, annotations, query …
Ernesto William De Luca, Alan Said, Matthias Böhmer, Florian Michahelles
Cite DOI URL
A Comparison of How Demographic Data Affects Recommendation
Recommender systems attempt to find relevant data for their users. As the amount of data available in the Web becomes larger, this task …
Alan Said, Till Plumbaum, Ernesto W. De Luca, Sahin Albayrak
Cite
Group recommendation in context
The 2011 Challenge on Context-Aware Movie Recommendation (CAMRa2011) was held in conjunction with the Fifth ACM Conference on …
Alan Said, S. Berkovsky, E.W. De Luca
Cite DOI
The challenge on Context-Aware Movie Recommendation (CAMRa2011)
Alan Said, S. Berkovsky, E. De Luca, J. Hermanns
Cite
The workshop on context-awareness in Retrieval and Recommendation (CaRR 2011)
E. De Luca, Alan Said, M. Böhmer, F. Michahelles
Cite
Exploiting hierarchical tags for context-awareness
Context-awareness for information retrieval is a challenging problem as information about the user’s current situation is rarely …
Alan Said, Jérôme Kunegis, Ernesto W. De Luca, Sahin Albayrak
Cite DOI URL
Context-awareness in recommender systems
CARS and CAMRa were organized under the Context-awareness in Recommendation Systems special event and gathered academic researchers as …
Gediminas Adomavicius, Alexander Tuzhilin, Shlomo Berkovsky, Ernesto W. De Luca, Alan Said
Cite DOI URL
Identifying and utilizing contextual data in hybrid recommender systems
Context-aware recommender systems are becoming a popular topic, still, there are many untouched aspects. In this paper, research …
Alan Said
Cite DOI URL
Putting things in context
The Challenge on Context-Aware Movie Recommendation (CAMRa) was conducted as part of a join event on Context-Awareness in Recommender …
Alan Said, Shlomo Berkovsky, Ernesto W. De Luca
Cite DOI URL
How social relationships affect user similarities
In this paper we present an analysis of the social movie recommendation community Filmtipset. Filmtipset is Sweden’s largest …
Alan Said, E.W. De Luca, S. Albayrak
Cite
The challenge on context-aware movie recommendation (CAMRa2010)
S. Berkovsky, E. De Luca, Alan Said
Cite DOI
Understanding the user: personomy translation for tag recommendation
This paper describes our approach to the challenge of graph-based tag recommendation in social bookmarking services. Along the ECML …
Robert Wetzker, Alan Said, Carsten Zimmermann
PDF Cite
A hybrid approach to item recommendation in folksonomies
In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users …
Robert Wetzker, Winfried Umbrath, Alan Said
Cite DOI URL
A hybrid PLSA approach for warmer cold start in folksonomy recommendation
We investigate the problem of item recommendation during the first months of the collaborative tagging community CiteULike. CiteULike …
Alan Said, Robert Wetzker, Winfried Umbrath, Leonhard Hennig
Cite