Essays about: "sequential recommendation"

Showing result 1 - 5 of 12 essays containing the words sequential recommendation.

  1. 1. Incorporating Reinforcement Learning into Supervised Sequential Recommender Models

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Patrick Siegfried Hiemsch; [2023]
    Keywords : ;

    Abstract : In the context of the significant expansion of e-commerce, Recommender Systems have become important tools for businesses, enhancing customer engagement through the personalization of product recommendations. This thesis investigates the integration of Reinforcement Learning concepts  into Supervised Learning frameworks, aiming to foster more accurate, novel and diverse recommendations. READ MORE

  3. 2. Combining transaction and page view data for more accurate product recommendations

    University essay from Umeå universitet/Institutionen för fysik

    Author : Soroush Rohani; [2023]
    Keywords : Recommendation systems; machine learning; e-commerce;

    Abstract : Recommendation systems are primarily used in e-commerce and retail to guide the user in a vast space of available items by providing personalized recommendations that fit the user's interests and need. Numerous types of recommendation systems have been introduced over the years. READ MORE

  4. 3. 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

  5. 4. Sequential Knowledge Tracing with Transformer Models

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

    Author : Nino Yan-Nick Lucien Segala; [2022]
    Keywords : Knowledge Tracing; Transformers; Machine Learning; Exercise Recommendation; Sequential Model; Attention Model; Kunskapsspårning; Transformers; Maskininlärning; Övningsrekommendation; Sekventiell Modell; Uppmärksamhetsmodell;

    Abstract : Transformer models, delivering big improvement in AI text-models (NLP), are now being applied in Knowledge Tracing to track the knowledge of students over time. One of the first, SAINT, showed quite some improvement over the then SOTA results on the public EdNet dataset and caused an increase in research based on transformer-based models. READ MORE

  6. 5. Flight Sorting Algorithm Based on Users’ Behaviour

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

    Author : Qingyan Ben; [2021]
    Keywords : Ranking systems; recommendation systems; machine learning; deep learning; data balance; Rankningssystem; rekommendationssystem; maskininlärning; djupinlärning; databalans;

    Abstract : The model predicts the best flight order and recommend best flight to users. The thesis could be divided into the following three parts: Feature choosing, data-preprocessing, and various algorithms experiment. READ MORE