Intelligent News Recommendation System for Automobile Based on Bio-Sensing and Physiological Computing

Cui, Chengkun; Wang, Chen; Wei, Cong; Fang, Xiaoyin; Deng, Yuanyuan

doi:10.1145/3483207.3483225

2021 4th International Conference on Signal Processing and Machine Learning 2021

DOI: 10.1145/3483207.3483225

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Intelligent News Recommendation System for Automobile Based on Bio-Sensing and Physiological Computing

Chengkun Cui¹,

Chen Wang²,

Cong Wei³

et al.

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2024

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Where Are the Values? A Systematic Literature Review on News Recommender Systems

Bauer,

Bagchi,

Hundogan

et al. 2024

ACM Trans. Recomm. Syst.

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In the recommender systems field, it is increasingly recognized that focusing on accuracy measures is limiting and misguided. Unsurprisingly, in recent years, the field has witnessed more interest in the research of values “beyond accuracy.” This trend is particularly pronounced in the news domain where recommender systems perform parts of the editorial function, required to uphold journalistic values of news organizations. In the literature, various values and approaches have been proposed and evaluated. This paper reviews the current state of the proposed news recommender systems (NRS). We perform a systematic literature review, analyzing 183 papers. The primary aim is to study the development, scope, and focus of value-aware NRS over time. In contrast to previous surveys, we are particularly interested in identifying the range of values discussed and evaluated in the context of NRS, and embrace an interdisciplinary view. We identified a total of 40 values, categorized into five value groups. Most research on value-aware NRS has taken an algorithmic approach, whereas conceptual discussions are comparably scarce. Often, algorithms are evaluated by accuracy-based metrics, but the values are not evaluated with respective measures. Overall, our work identifies research gaps concerning values that have not received much attention. Values need to be targeted on a more fine-grained and specific level.

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Where Are the Values? A Systematic Literature Review on News Recommender Systems

Bauer,

Bagchi,

Hundogan

et al. 2024

ACM Trans. Recomm. Syst.

View full text Add to dashboard Cite

show abstract

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Intelligent News Recommendation System for Automobile Based on Bio-Sensing and Physiological Computing

Cited by 1 publication

References 10 publications

Where Are the Values? A Systematic Literature Review on News Recommender Systems

Where Are the Values? A Systematic Literature Review on News Recommender Systems

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