Essays about: "Rekommendationssystem"

Showing result 11 - 15 of 74 essays containing the word Rekommendationssystem.

1. 11. Identifying potential problem perceived by consumers within the recommendation system of streaming services

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

   Author : Laila Arman; Tanveer Ahmed; [2022]
   Keywords : Streaming service; Recommendation system; Netflix; Disney Plus; HBO Max; Streaming tjänster; Rekommendationssystem; Netflix; Disney Plus; HBO Max;

   Abstract : Streaming services have had a significant gain in popularity over the last decade, with an increasing number of subscribers. Along with digitalization, more households seek accessible entertainment that allows them to choose the type of content they wish to watch. READ MORE

3. 12. 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

4. 13. 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

5. 14. Attention-based Multi-Behavior Sequential Network for E-commerce Recommendation

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

   Author : Zilong Li; [2022]
   Keywords : Recommendation System; Sequential Recommendation; Click-through Rate Model; Transformer; Multi-Task Learning; Sistema di Raccomandazione; Raccomandazione Sequenziale; Modello di Percentuale di Clic; Trasformatore; Apprendimento Multitasking; Rekommendationssystem; Sekventiell rekommendation; Klickfrekvensmodell; Transformator; Multi-Task Learning;

   Abstract : The original intention of the recommender system is to solve the problem of information explosion, hoping to help users find the content they need more efficiently. In an e-commerce platform, users typically interact with items that they are interested in or need in a variety of ways. For example, buying, browsing details, etc. READ MORE

6. 15. 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