{"product_id":"advances-in-bias-and-fairness-in-information-retrieval-9783031719745","title":"Advances in Bias and Fairness in Information Retrieval","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAn Offer you Cannot Refuse? Trends in the Coercive Impact of Amazon Book Recommendations.- Retention Induced Biases in a Recommendation System with Heterogeneous Users.- Political Bias of Large Language Models in Few-shot News Summarization.- Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation.- Bias Reduction in Social Networks through Agent-Based Simulations.- vivaFemme: Mitigating Gender Bias in Neural Team Recommendation via Female-Advocate Loss Regularization.- Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195406934359,"sku":"9783031719745","price":54.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/advances-in-bias-and-fairness-in-information-retrieval-9783031719745","provider":"Book Curl","version":"1.0","type":"link"}