paper-conference

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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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 Bellogin, Thaer Samar, Arjen P. de Vries, Alan Said
Jan 1, 2014
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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
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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
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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
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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
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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
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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
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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 Bellogin, Alan Said, Arjen P. de Vries
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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
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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
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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 Bellogin
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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 Bellogin, Arjen de Vries
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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 Bellogin, Arjen de Vries
Jan 1, 2013
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The 3rd workshop on context-awareness in retrieval and recommendation (CaRR 2013)
M. Böhmer, E.W. De Luca, Alan Said, J. Teevan
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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
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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
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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
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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
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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
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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
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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
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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
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The 2nd Workshop on Context-awareness in Retrieval and Recommendation (CaRR 2012)
E.W. De Luca, M. Böhmer, Alan Said, E.H. Chi
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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
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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
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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
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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
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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
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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
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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
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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
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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
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The challenge on Context-Aware Movie Recommendation (CAMRa2011)
Alan Said, S. Berkovsky, E. De Luca, J. Hermanns
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The workshop on context-awareness in Retrieval and Recommendation (CaRR 2011)
E. De Luca, Alan Said, M. Böhmer, F. Michahelles
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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
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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
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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
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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
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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
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The challenge on context-aware movie recommendation (CAMRa2010)
S. Berkovsky, E. De Luca, Alan Said
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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
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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
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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
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