Recommender Systems

Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access …

Evaluation is important when developing and deploying recommender systems. The PERSPECTIVES workshop sheds light on the different, …

Information retrieval and recommender systems are deployed in real world environments. Therefore, to get a real feeling for the system, …

Recommender systems have been put to use in the entertainment and e-commerce domains for decades, and in these decades, recommender …

Evaluation of recommender systems is a central activity when developing recommender systems, both in industry and academia. The second …

Reproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, …

Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together …

HealthRecSys 2020 was the 5th International Workshop on Health Recommender Systems held in conjunction with the 14th ACM Conference on …

HealthRecSys 2019 was the 4th International Workshop on Health Recommender Systems held in conjunction with the 2019 ACM Conference on …

The 3rd International Workshop on Health Recommender Systems was held in conjunction with the 2018 ACM Conference on Recommender …

Recommender Systems have to deal with a wide variety of users and user types that express their preferences in different ways. This …

The 2017 Workshop on Health Recommender Systems was held in conjunction with the 2017 ACM Conference on Recommender Systems in Como, …

Recommender systems addvalue to vast content resources by matching users with items of interest. In recent years, immense progress has …

The first Workshop on Engendering Health with Recom- mender Systems was organized in conjunction with ACM RecSys 2016. The focus of the …

This chapter describes the concepts involved in the process of benchmarking of recommendation systems. Benchmarking of recommendation …

We present a study of how recommendations are received in real life by users across different news domains (traditional online …

The 2014 ACM Recommender Systems Challenge invited re- searchers and practitioners to work towards a common goal, this goal being the …

Currently, it is diffcult to put in context and compare the results from a given evaluation of a recommender system, mainly because too …

WrapRec is an easy-to-use Recommender Systems toolkit which allows users to easily implement or wrap recommen- dation algorithms from …

During the last decade, recommender systems have become a ubiquitous feature in the online world. Research on systems and algorithms in …

Evaluating adaptive and personalized information retrieval tech-niques is known to be a difficult endeavor. The rapid evolution of …

Collaborative filtering recommender systems often use nearest neighbor methods to identify candidate items. In this paper we present an …

Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …

In this work we describe an approach at multi-objective recommender system evaluation based on a previously introduced 3D benchmarking …

Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the …

The challenge and workshop on Context-Aware Movie Recommendation (CAMRa2010) were conducted jointly in 2010 with the Recommender …

This work presents the recommendation algorithms deployed by the winning team (recomenders.net) in the ACM RecSys 2013 News Recommender …

Collaborative filtering recommender systems provide their users with relevant items based on information from other similar users. …

Research on recommender systems evaluation generally measures the quality of the algorithm, or system, offline, i.e. based on some …

Recommender systems are commonly evaluated by trying to predict known, withheld, ratings for a set of users. Measures such as the …

Collaborative Filtering Recommender Systems come in a wide variety of variants. In this paper we present a system for visualizing and …

The Recommender System Challenge 2012 invited participants to work on two tracks with real-world datasets and to submit their …

Recommender systems are crucial components of most commercial web sites to keep users satisfied and to increase revenue. Thus, a lot of …

This paper provides an overview of CAMRa2011, the second edition of the Challenge on Context-Aware Movie Recommendation. The challenge …

In this paper we present the concept of inferred contextual user profiles (CUPs) which extends the traditional user profile definition …

The 2011 Challenge on Context-Aware Movie Recommendation (CAMRa2011) was held in conjunction with the Fifth ACM Conference on …

CARS and CAMRa were organized under the Context-awareness in Recommendation Systems special event and gathered academic researchers as …

Context-aware recommender systems are becoming a popular topic, still, there are many untouched aspects. In this paper, research …

The Challenge on Context-Aware Movie Recommendation (CAMRa) was conducted as part of a join event on Context-Awareness in Recommender …