Essays about: "Collaborative-filtering"

Showing result 6 - 10 of 87 essays containing the word Collaborative-filtering.

  1. 6. Predicting future purchases with matrix factorization

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

    Author : Azer Hojlas; August Paulsrud; [2022]
    Keywords : Matrix factorisation; machine learning; recommendations systems; Maskininlärning; Matrisfaktorisering; Rekommendationssystem;

    Abstract : This thesis aims to establish the efficacy of using matrix factorization to predict future purchases. Matrix factorisation is a machine learning method, commonly used to implement the collaborative filtering recommendation system. READ MORE

  3. 7. GROCERY PRODUCT RECOMMENDATIONS : USING RANDOM INDEXING AND COLLABORATIVE FILTERING

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

    Author : Axel Orrenius; Axel Wiebe Werner; [2022]
    Keywords : Alternating Least Squares; Collaborative Filtering; Machine Learning; Random Indexing; Rapid-Delivery; Product Recommendations;

    Abstract : The field of personalized product recommendation systems has seen tremendous growth in recent years. The usefulness of the algorithms’ abilities to filter out data from vast sets has been shown to be crucial in today’s information-heavy online experience. READ MORE

  4. 8. Recommender system for IT security scanning service : Collaborative filtering in an error report scenario

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

    Author : Jonas Thunberg; [2022]
    Keywords : Collaborative Filtering; Vulnerability Scanning; IT-Security; Recommender System;

    Abstract : Recommender systems have become an integral part of the user interface of many web applications. Recommending items to buy, media to view or similar “next choice”-recommendations has proven to be a powerful tool to improve costumer experience and engagement. READ MORE

  5. 9. Improving Recommendation Systems Using Image Data

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Filip Åslin; [2022]
    Keywords : Recommendation Systems; Image Analysis; Machine Learning; Data Science;

    Abstract : Recommendation systems typically use historical interactions between users and items topredict what other items can be of interest to a user. The recommendations are based onpatterns in how users interact similarly with items. READ MORE

  6. 10. Comparison of state-of-the-art Temporal Interaction Network methods in different settings : Novel models to predict temporal behavior

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

    Author : Indre Tauroseviciute; [2021]
    Keywords : Recommendation systems; Neural Collaborative Filtering; RNN; Backpropagation; Comparative analysis;

    Abstract : Recommendation systems become more and more necessary due to the growing supply chain. Therefore, scientists are developing models that can serve different recommendation needs faster than before, and it is getting more complicated to choose the model for a specific case. READ MORE