Paper-Conference

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 Bellogín, 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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