This paper discusses the feasibility and benefits of incorporating coefficients of inter-coder agreement (Krippendorff's α, Bennett, Alpert and Goldstein's S, Scott's π and Cohen's κ) into recommender systems. It is argued that with their help it is possible to increase the accuracy of users' assessment of various items (texts, but also potentially images, movies, music and goods). Chance-corrected measures of similarity also allow for the detection of similarly minded users in a more accurate

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... anner. Results of small-scale empirical tests inform the discussion. Predictions made using chance-corrected measures of similarity are compared with those based on more conventional measures of similarity, the cosine coefficient and the Jaccard index.