Essays about: "Implicit rekommendation"

Found 3 essays containing the words Implicit rekommendation.

  1. 1. Graph Neural Networks for Article Recommendation based on Implicit User Feedback and Content

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

    Author : Márk Bereczki; [2021]
    Keywords : Recommender systems; Implicit recommendation; Graph neural networks; Simple Graph Convolution; Natural language processing; Rekommendationssystem; Implicit rekommendation; Grafneurala nätverk; Simple Graph Convolution; Naturlig språkbehandling;

    Abstract : Recommender systems are widely used in websites and applications to help users find relevant content based on their interests. Graph neural networks achieved state- of-the- art results in the field of recommender systems, working on data represented in the form of a graph. READ MORE

  2. 2. 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. 3. Building a Sporting Goods Recommendation System

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Mikael Flodman; [2015]
    Keywords : Recommendation System; ALS-WR; Implicit Data;

    Abstract : This thesis report describes an attempt to build a recommender system for recommending sporting goods in an e-commerce setting, using the customer purchase history as the input dataset. Two input datasets were considered, the item purchases dataset and the item-category dataset. READ MORE