Evaluating recommender systems from the user's perspective: survey of the state of the art
A recommender system is a Web technology that proactively suggests items of interest to
users based on their objective behavior or explicitly stated preferences. Evaluations of …
users based on their objective behavior or explicitly stated preferences. Evaluations of …
Critiquing-based recommenders: survey and emerging trends
Critiquing-based recommender systems elicit users' feedback, called critiques, which they
made on the recommended items. This conversational style of interaction is in contract to the …
made on the recommended items. This conversational style of interaction is in contract to the …
Towards conversational recommender systems
People often ask others for restaurant recommendations as a way to discover new dining
experiences. This makes restaurant recommendation an exciting scenario for recommender …
experiences. This makes restaurant recommendation an exciting scenario for recommender …
Explaining recommendations: Design and evaluation
In recent years, there has been an increased interest in more user-centered evaluation
metrics for recommender systems such as those mentioned in [49]. It has also been …
metrics for recommender systems such as those mentioned in [49]. It has also been …
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …
Learning (ML), recommender systems have attracted significant research attention. These …
Moodplay: interactive music recommendation based on artists' mood similarity
A large amount of research in recommender systems focuses on algorithmic accuracy and
optimization of ranking metrics. However, recent work has unveiled the importance of other …
optimization of ranking metrics. However, recent work has unveiled the importance of other …
Human-centered recommender systems: Origins, advances, challenges, and opportunities
From the earliest days of the field, Recommender Systems research and practice has
struggled to balance and integrate approaches that focus on recommendation as a machine …
struggled to balance and integrate approaches that focus on recommendation as a machine …
Moodplay: Interactive mood-based music discovery and recommendation
A large body of research in recommender systems focuses on optimizing prediction and
ranking. However, recent work has highlighted the importance of other aspects of the …
ranking. However, recent work has highlighted the importance of other aspects of the …
Does reviewer recommendation help developers?
Selecting reviewers for code changes is a critical step for an efficient code review process.
Recent studies propose automated reviewer recommendation algorithms to support …
Recent studies propose automated reviewer recommendation algorithms to support …
When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data
Constraining the actions of AI systems is one promising way to ensure that these systems
behave in a way that is morally acceptable to humans. But constraints alone come with …
behave in a way that is morally acceptable to humans. But constraints alone come with …