Essays about: "Recommender Systems Evaluation"

Showing result 21 - 25 of 29 essays containing the words Recommender Systems Evaluation.

  1. 21. Evaluation of label incorporated recommender systems : Based on restricted boltzmann machines

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Nikolas Huhnstock; [2016]
    Keywords : ;

    Abstract : In this thesis the problem of providing good recommendations to assist users to make the best choice out of numerous options is studied. To overcome the common problem of sparsity of the data, from which recommendations are inferred, additional label information assigned to items is considered. READ MORE

  3. 22. Content-based Recommender System for Movie Website

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Ke Ma; [2016]
    Keywords : recommender system; content-based; collaborative filtering; similarity; movie; recommender system innehållsbaserad; samarbets filtrering; likheten; film;

    Abstract : Recommender System is a tool helping users find content and overcome information overload. It predicts interests of users and makes recommendation according to the interest model of users. READ MORE

  4. 23. Developing and evaluating recommender systems

    University essay from Mittuniversitetet/Avdelningen för informations- och kommunikationssystem

    Author : Vahid Fadaeian; [2015]
    Keywords : Recommender System; Collaborative filtering; Apache mahout; Evaluation; metrics; similarity; RMS; MAE; Pearson; Loglikelihood;

    Abstract : In recent years, web has experienced a tremendous growth concerning users and content. As a result information overload problem has always been always one of the main discussion topics. READ MORE

  5. 24. Investigating the performance of matrix factorization techniques applied on purchase data for recommendation purposes

    University essay from Malmö högskola/Fakulteten för teknik och samhälle (TS)

    Author : John Holländer; [2015]
    Keywords : Recommender systems; Matrix factorization; Machine learning; Implicit feedback; Recommender algorithms; Nearest neighbor; UserNN; Recommendation systems; UserKnn;

    Abstract : Automated systems for producing product recommendations to users is a relatively new area within the field of machine learning. Matrix factorization techniques have been studied to a large extent on data consisting of explicit feedback such as ratings, but to a lesser extent on implicit feedback data consisting of for example purchases. READ MORE

  6. 25. Recommender System Validation Platform

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Johan Ullén; [2015]
    Keywords : generic framework; validation; evaluation; recommender system; Technology and Engineering;

    Abstract : With most applications where recommender systems are used, it is impor- tant that they produce a better result than a system with no recommender, or one with a previous recommender. Deploying an untested system, even to a smaller user sample can be very costly if the system produces negative results. READ MORE