Interacting with recommenders—overview and research directions
Automated recommendations have become a ubiquitous part of today's online user
experience. These systems point us to additional items to purchase in online shops, they …
experience. These systems point us to additional items to purchase in online shops, they …
A literature review of recommender systems in the television domain
D Véras, T Prota, A Bispo, R Prudêncio… - Expert Systems with …, 2015 - Elsevier
Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions of relevant items to users. These systems have received increasing attention …
suggestions of relevant items to users. These systems have received increasing attention …
Data mining methods for recommender systems
In this chapter, we give an overview of the main Data Mining techniques used in the context
of Recommender Systems. We first describe common preprocessing methods such as …
of Recommender Systems. We first describe common preprocessing methods such as …
Collaborative filtering techniques in recommendation systems
SK Raghuwanshi, RK Pateriya - Data, Engineering and Applications …, 2019 - Springer
Recommendation system is the tool to user preferences over a given set of items. It takes
help of the previous auxiliary information in terms of feedback or ratings. The main purpose …
help of the previous auxiliary information in terms of feedback or ratings. The main purpose …
A study of the dynamic features of recommender systems
The extensive usage of internet is fundamentally changing the way we live and
communicate. Consequently, the requirements of users while browsing internet are …
communicate. Consequently, the requirements of users while browsing internet are …
[PDF][PDF] Survey on recommendation system
This paper describes the overview of recommendation system. The recommendation system
is the sub-part of the data mining field. This is the era of the e-commerce business …
is the sub-part of the data mining field. This is the era of the e-commerce business …
Investigating How Users Design Everyday Intelligent Systems in Use
Intelligent systems learn and evolve depending on what kinds of input are given and how
people actually use them after deployment. While such a characteristic may be a troubling …
people actually use them after deployment. While such a characteristic may be a troubling …
Recommending activities for mental health and well-being: Insights from two user studies
DA Rohani, A Springer, V Hollis… - … on Emerging Topics …, 2020 - ieeexplore.ieee.org
Engaging in daily activities that engender positive affect (eg, exercise and socializing) is
critical for emotional well-being and is effective in reducing clinical depression. However …
critical for emotional well-being and is effective in reducing clinical depression. However …
Promoting the performance of vertical recommendation systems by applying new classification techniques
Recommender systems (RSs) have proven to be valuable means for online users to cope
with the information overload and have become one of the most powerful and popular tools …
with the information overload and have become one of the most powerful and popular tools …
Teaching-learning interaction: a new concept for interaction design to support reflective user agency in intelligent systems
Intelligent systems in everyday lives learn about their users to tailor services over time.
However, these systems are often designed with little consideration of user agency on their …
However, these systems are often designed with little consideration of user agency on their …