Evaluating recommender systems: survey and framework
E Zangerle, C Bauer - ACM Computing Surveys, 2022 - dl.acm.org
The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …
endeavor: many facets need to be considered in configuring an adequate and effective …
Sequence-aware recommender systems
Recommender systems are one of the most successful applications of data mining and
machine-learning technology in practice. Academic research in the field is historically often …
machine-learning technology in practice. Academic research in the field is historically often …
Fairness in recommender systems: research landscape and future directions
Recommender systems can strongly influence which information we see online, eg, on
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …
News recommender systems–Survey and roads ahead
More and more people read the news online, eg, by visiting the websites of their favorite
newspapers or by navigating the sites of news aggregators. However, the abundance of …
newspapers or by navigating the sites of news aggregators. However, the abundance of …
Paper recommender systems: a literature survey
In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …
recommender systems. We reviewed these articles and present some descriptive statistics in …
Trends in content-based recommendation: Preface to the special issue on Recommender systems based on rich item descriptions
Automated recommendations have become a pervasive feature of our online user
experience, and due to their practical importance, recommender systems also represent an …
experience, and due to their practical importance, recommender systems also represent an …
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
Most real-world recommender systems are deployed in a commercial context or designed to
represent a value-adding service, eg, on shopping or Social Web platforms, and typical …
represent a value-adding service, eg, on shopping or Social Web platforms, and typical …
A survey on popularity bias in recommender systems
Recommender systems help people find relevant content in a personalized way. One main
promise of such systems is that they are able to increase the visibility of items in the long tail …
promise of such systems is that they are able to increase the visibility of items in the long tail …
Recommendation quality, transparency, and website quality for trust-building in recommendation agents
Trust is a main success factor for automated recommendation agents on e-commerce sites.
Various aspects can contribute to the development of trust toward such an agent, including …
Various aspects can contribute to the development of trust toward such an agent, including …
Merging trust in collaborative filtering to alleviate data sparsity and cold start
Providing high quality recommendations is important for e-commerce systems to assist users
in making effective selection decisions from a plethora of choices. Collaborative filtering is a …
in making effective selection decisions from a plethora of choices. Collaborative filtering is a …