Essays about: "Streaming Recommender Systems"

Showing result 1 - 5 of 10 essays containing the words Streaming Recommender Systems.

  1. 1. Offline Reinforcement Learning for Scheduling Live Video Events in Large Enterprises

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Jonathan Franzén; [2022]
    Keywords : Reinforcement Learning; Offline Learning; Recommender Systems;

    Abstract : In modern times, live video streaming events in companies has become an increasingly relevantmethod for communications. As a platform provider for these events, being able to deliverrelevant recommendations for event scheduling times to users is an important feature. READ MORE

  2. 2. Finding time-based listening habits in users music listening history to lower entropy in data

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

    Author : John Magnusson; [2021]
    Keywords : Data mining; Clustering; Listening habits; Entropy.; Datautvinning; Klusteranalys; Lyssningsvanor; Entropi.;

    Abstract : In a world where information, entertainment and e-commerce are growing rapidly in terms of volume and options, it can be challenging for individuals to find what they want. Search engines and recommendation systems have emerged as solutions, guiding the users. READ MORE

  3. 3. Contextualizing music recommendations : A collaborative filtering approach using matrix factorization and implicit ratings

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Alexander Häger; [2020]
    Keywords : recommender; recommender systems; context; context-aware; CARS; music; music streaming; matrix factorization;

    Abstract : Recommender systems are helpful tools employed abundantly in online applications to help users find what they want. This thesis re-purposes a collaborative filtering recommender built for incorporating social media (hash)tags to be used as a context-aware recommender, using time of day and activity as contextual factors. READ MORE

  4. 4. 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

  5. 5. Evaluating Prediction Accuracy for Collaborative Filtering Algorithms in Recommender Systems

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

    Author : Ziad Salam Patrous; Safir Najafi; [2016]
    Keywords : ;

    Abstract : Recommender systems are a relatively new technology that is commonly used by e-commerce websites and streaming services among others, to predict user opinion about products. This report studies two specific recommender algorithms, namely FunkSVD, a matrix factorization algorithm and Item-based collaborative filtering, which utilizes item similarity. READ MORE