What recommenders recommend: an analysis of recommendation biases and possible countermeasures

Overview of attention for article published in User Modeling and User-Adapted Interaction, July 2015

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In the top 25% of all research outputs scored by Altmetric
Among the highest-scoring outputs from this source (#11 of 191)
High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

policy: 1 policy source
twitter: 12 X users

facebook: 1 Facebook page

Citations

dimensions_citation: 170 Dimensions

Readers on

mendeley: 105 Mendeley
citeulike: 1 CiteULike

Summary Policy documents X Facebook Dimensions citations

So far, Dimensions has found 170 publications that cite this research output.

170

The most recent citing publications are shown below. View all 170 publications that cite this research output on Dimensions.

Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation

Conference proceeding (May 2024)

Formalizing Multimedia Recommendation through Multimodal Deep Learning

Article in ACM Transactions on Recommender Systems (April 2024)

Fairness in Machine Learning: A Survey

Article in ACM Computing Surveys (April 2024)

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