Trends in the Coerciveness of Amazon Book Recommendations

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Discover how Amazon's evolving recommender system may be shaping user preferences over time.

Authors: Jonathan H. Rystrøm. Table of Links Abstract and Introduction Previous Literature Methods and Data Results Discussions Conclusions and References A. Validation of Assumptions B. Other Models C. Pre-processing steps Abstract Recommender systems can be a helpful tool for recommending content but they can also influence users’ preferences.

Table of Links Abstract and Introduction Abstract and Introduction Previous Literature Previous Literature Methods and Data Methods and Data Results Results Discussions Discussions Conclusions and References Conclusions and References A. Validation of Assumptions A. Validation of Assumptions B. Other Models B. Other Models C. Pre-processing steps C. Pre-processing steps Abstract Recommender systems can be a helpful tool for recommending content but they can also influence users’ preferences.

 

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