Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity
In the debate about filter bubbles caused by algorithmic news recommendation, the
conceptualization of the two core concepts in this debate, diversity and algorithms, has …
conceptualization of the two core concepts in this debate, diversity and algorithms, has …
Novelty and diversity in recommender systems
Novelty and diversity have been identified, along with accuracy, as prominent properties of
useful recommendations. Considerable progress has been made in the field in terms of the …
useful recommendations. Considerable progress has been made in the field in terms of the …
How motivational feedback increases user's benefits and continued use: A study on gamification, quantified-self and social networking
With the increasing provenance of hedonic and social information systems, systems are
observed to employ other forms of feedback and design than purely informational in order to …
observed to employ other forms of feedback and design than purely informational in order to …
Exploring author gender in book rating and recommendation
Collaborative filtering algorithms find useful patterns in rating and consumption data and
exploit these patterns to guide users to good items. Many of the patterns in rating datasets …
exploit these patterns to guide users to good items. Many of the patterns in rating datasets …
User perception of differences in recommender algorithms
Recent developments in user evaluation of recommender systems have brought forth
powerful new tools for understanding what makes recommendations effective and useful …
powerful new tools for understanding what makes recommendations effective and useful …
Gamification, quantified-self or social networking? Matching users' goals with motivational technology
Abstract Systems and services we employ in our daily life have increasingly been
augmented with motivational designs which fall under the classes of (1) gamification,(2) …
augmented with motivational designs which fall under the classes of (1) gamification,(2) …
Psychology-informed recommender systems
Personalized recommender systems have become indispensable in today's online world.
Most of today's recommendation algorithms are data-driven and based on behavioral data …
Most of today's recommendation algorithms are data-driven and based on behavioral data …
Evaluating conversational recommender systems: A landscape of research
D Jannach - Artificial Intelligence Review, 2023 - Springer
Conversational recommender systems aim to interactively support online users in their
information search and decision-making processes in an intuitive way. With the latest …
information search and decision-making processes in an intuitive way. With the latest …
Artificial intelligence ecosystems for marketing communications
The goal of this article is to help advertising scholars, students and practitioners understand
and anticipate the effects of artificial intelligence (AI) and machine learning (ML) on …
and anticipate the effects of artificial intelligence (AI) and machine learning (ML) on …
Nudging towards health? examining the merits of nutrition labels and personalization in a recipe recommender system
Food recommender systems show personalized recipes to users based on content liked
previously. Despite their potential, often recommended (popular) recipes in previous studies …
previously. Despite their potential, often recommended (popular) recipes in previous studies …