Open, Scrutable and Explainable Interest Models for Transparent Recommendation

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Given that no standard approaches for evaluation of explainable methods exist, particularly for process prediction explanations, the project outlined in this document will attempt

Several works tried to combine usually the afore- mentioned approaches. For instance, [?] combines Social graph with Collaborative Filtering. They propose Referral Web, a

To our knowledge, user recommender systems fall in the following schools of thought: Social Network Analysis, Collaborative Filtering, Semantic-based models, and Content-based

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This study will aim to fill this gap, by attempting to determine the characteristics the specific crowdfunding campaigns, the communication process between the campaign organizers

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