Essays about: "collaborative filtering"

Showing result 21 - 25 of 94 essays containing the words collaborative filtering.

  1. 21. Content-based music recommendation system : A comparison of supervised Machine Learning models and music features

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

    Author : Marine Chemeque Rabel; [2020]
    Keywords : ;

    Abstract : As streaming platforms have become more and more popular in recent years and music consumption has increased, music recommendation has become an increasingly relevant issue. Music applications are attempting to improve their recommendation systems in order to offer their users the best possible listening experience and keep them on their platform. READ MORE

  3. 22. A Comparison between Different Recommender System Approaches for a Book and an Author Recommender System

    University essay from Linköpings universitet/Interaktiva och kognitiva system

    Author : Jesper Hedlund; Emma Nilsson Tengstrand; [2020]
    Keywords : Recommender System; Collaborative Filter; Matrix Factorization; Content-based Filter; Doc2Vec;

    Abstract : A recommender system is a popular tool used by companies to increase customer satisfaction and to increase revenue. Collaborative filtering and content-based filtering are the two most common approaches when implementing a recommender system, where the former provides recommendations based on user behaviour, and the latter uses the characteristics of the items that are recommended. READ MORE

  4. 23. Toward localization and mapping with heterogeneous depth sensors

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

    Author : Paula Carbó Cubero; [2020]
    Keywords : ;

    Abstract : Heterogeneous collaborative Simultaneous Localization and Mapping (SLAM) can be defined as the solution to the SLAM problem that can handle different devices with different sensors, such as a monocular camera and a 3D LiDAR sensor, building a map and performing localization all at the same time. Research regarding this field is still at a very early stage, and it is hard to find solutions to the data association problem for these different types of sensor outputs. READ MORE

  5. 24. Switching hybrid recommender system to aid the knowledge seekers

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Alexander Backlund; [2020]
    Keywords : ML; Machine Learning; Recommender System; Information Filtering; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering; KNN; MF; Matrix Factorization;

    Abstract : In our daily life, time is of the essence. People do not have time to browse through hundreds of thousands of digital items every day to find the right item for them. This is where a recommendation system shines. Tigerhall is a company that distributes podcasts, ebooks and events to subscribers. READ MORE

  6. 25. Creating a Recommender System for a Service Booking Website

    University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

    Author : Sakariya Mustaf Cali; [2020]
    Keywords : Recommender system; Booking; E-commerce; Collaborative filtering; User-based; Rekommendationssystem; Bokning; E-handel; Collaborative filtering; User-based;

    Abstract : Detta dokument presenterar implementeringen av ett rekommendationssystem för tjänstebokningssidan Boka.se. Rekommendationssystem omfattar mjukvaruverktyg och teknik för att generera förslag till en användare enligt deras preferenser och förekommer ofta på e-handelssidor. READ MORE