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About this paper
Zehui Wang, Wolfram Höpken, Dietmar Jannach
The authors examine data quality challenges in tourism recommendation, using earlier Yelp and Lake Constance Instagram datasets to identify noisy, biased, missing, and contradictory inputs across modalities. They propose estimating input reliability and dynamically reducing the influence of lower-quality modalities during fusion. The paper maps risks and research directions, but reports no controlled recommendation experiment or measured improvement.
Summary by alphaXiv.
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