Essays about: "Recommender Systems Evaluation"

Showing result 11 - 15 of 29 essays containing the words Recommender Systems Evaluation.

  1. 11. Personal news video recommendations based on implicit feedback : An evaluation of different recommender systems with sparse data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Morgan Andersson; [2018]
    Keywords : Information Filtering; Recommender Systems; News Videos; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering;

    Abstract : The amount of video content online will nearly triple in quantity by 2021 compared to 2016. The implementation of sophisticated filters is of paramount importance to manage this information flow. The research question of this thesis asks to what extent it is possible to generate personal recommendations, based on the data that news videos implies. READ MORE

  3. 12. StreamER: Evaluation Framework For Streaming Recommender Systems

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

    Author : Sai Sri Kosaraju; [2018]
    Keywords : Recommender Systems; Recommender Systems Evaluation; Streaming Recommender Systems; Recommender system metrics; Recommender systems evaluation tools;

    Abstract : Recommender systems have gained a lot of popularity in recent times dueto their application in the wide range of fields. Recommender systems areintended to support users in finding the relevant items based on their interestsand preferences. READ MORE

  4. 13. Complexity evaluation of CNNs in tightly coupled hybrid recommender systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Patrik Ingverud; [2018]
    Keywords : recommender systems; convolutional neural network; matrix factorization;

    Abstract : In this report we evaluated how the complexity of a Convolutional Neural Network (CNN), in terms of number of filters, size of filters and dropout, affects the performance on the rating prediction accuracy in a tightly coupled hybrid recommender system. We also evaluated the effect on the rating prediction accuracy for pretrained CNNs in comparison to non-pretrained CNNs. READ MORE

  5. 14. Video Recommendation Based on Object Detection

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Selma Nyberg; [2018]
    Keywords : Spotify; Machine Learning; Artificial Intelligence; Recommender Systems; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering; Deep Learning; Image Recognition; Object Detection; Natural Language Processing; Paragraph Vectors; Doc2Vec; TensorFlow; Classification; K-Nearest Neighbors; Cross-Validation;

    Abstract : In this thesis, various machine learning domains have been combined in order to build a video recommender system that is based on object detection. The work combines two extensively studied research fields, recommender systems and computer vision, that also are rapidly growing and popular techniques on commercial markets. READ MORE

  6. 15. A Scalable Recommender System for Automatic Playlist Continuation

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Jack Bennett; [2018]
    Keywords : ;

    Abstract : As major companies like Spotify, Deezer and Tidal look to improve their music streamingproducts, they repeatedly opt for features that engage with users and lead to a morepersonalised user experience. Automatic playlist continuation enables these platforms tosupport their users with a seamless and smooth interface to enjoy music, own their experience,and discover new songs and artists. READ MORE