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Computing taste: Algorithms and the makers of music recommendation
N Seaver - Computing Taste, 2022 - degruyter.com
The people who make music recommender systems have lofty goals: they want to broaden
listeners' horizons and help obscure musicians find audiences, taking advantage of the …
listeners' horizons and help obscure musicians find audiences, taking advantage of the …
New paths in music recommender systems research
The particularities of musical data and its multiple modalities make original contributions
possible in many core RecSys topics such as content-based and hybrid recommendation …
possible in many core RecSys topics such as content-based and hybrid recommendation …
Choice overload and recommendation effectiveness in related-article recommendations: Analyzing the Sowiport digital library
Choice overload describes a situation in which a person has difficulty in making decisions
due to too many options. We examine choice overload when displaying related-article …
due to too many options. We examine choice overload when displaying related-article …
Making sense of the urban future: Recommendation systems in smart cities
D Ahlers - 2020 - ntnuopen.ntnu.no
A large variety of Recommender Systems today can help users to understand and make
sense of certain aspects of their cities, for example events, restaurants, government services …
sense of certain aspects of their cities, for example events, restaurants, government services …
The recommendation of a practical guide for doctoral students using recommendation system Algorithms in the education field
Recommendation systems provide an approach to facilitate the user's desire. It is helpful in
recommending things from various domains like e-commerce, the service industry, and …
recommending things from various domains like e-commerce, the service industry, and …
Recommender System: Personalizing User Experience or Scientifically Deceiving Users?
R Trichur Narayanan - Proceedings of the 2021 5th International …, 2021 - dl.acm.org
Recommender system is taking the lead among many things that the digital world offers
today, to every customer visiting online portals for any service. Since its popularity from the …
today, to every customer visiting online portals for any service. Since its popularity from the …
It's Time to Consider" Time" when Evaluating Recommender-System Algorithms [Proposal]
J Beel - arxiv preprint arxiv:1708.08447, 2017 - arxiv.org
In this position paper, we question the current practice of calculating evaluation metrics for
recommender systems as single numbers (eg precision p=. 28 or mean absolute error MAE …
recommender systems as single numbers (eg precision p=. 28 or mean absolute error MAE …
System Algorithms in the Education Field
O Stitini, S Kaloun, O Bencharef - … 4: The Proceedings of the 5th …, 2021 - books.google.com
Recommendation systems provide an approach to facilitate the user's desire. It is helpful in
recommending things from various domains like e-commerce, the service industry, and …
recommending things from various domains like e-commerce, the service industry, and …
Modeling and Influencing Online User Behavior with Machine Learning
J Zhang - 2020 - etda.libraries.psu.edu
The Internet reshapes the way people connect to the world. The online platforms such as
social media and e-commerce websites collect a large number of various users' behavior …
social media and e-commerce websites collect a large number of various users' behavior …