A sampling approach to Debiasing the offline evaluation of recommender systems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-021-00651-y
Abstract: Offline evaluation of recommender systems (RSs) mostly relies on historical data, which is often biased. The bias is a result of many confounders that affect the data collection process. In such biased data, user-item interactions… read more here.
Keywords: evaluation recommender; approach; sampling approach; offline evaluation ... See more keywords
A Comparative Evaluation of Recommender Systems Tools
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DOI: 10.1109/access.2025.3541014
Abstract: Due to the vast flow of information on the Internet, easy and effective access to information has become crucial. Recommender systems are important in information filtering, as they significantly impact large-scale internet web services such… read more here.
Keywords: recommender; information; recommender systems; evaluation recommender ... See more keywords