Essays about: "Hybrid Recommender Systems"

Showing result 1 - 5 of 20 essays containing the words Hybrid Recommender Systems.

1. 1. Context-Aware Fashion Recommender Systems to Provide Intent-based Recommendations to Customers

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Edda Waciira; Marah Thomas; [2023]
   Keywords : e-commerce; Fashion Recommendation Systems; Machine Learning; Recommendation Systems;

   Abstract : In recent years, Recommendation Systems have revolutionized how social media and ecommerce are used. Fashion Recommendation Systems have made it easier for customers to do shopping, by recommending items to them based on various factors, such as their previous orders, and their similarities to other users. READ MORE

3. 2. 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

4. 3. Help Document Recommendation System

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Keerthi Vijay Kumar; Pinky Mary Stanly; [2023]
   Keywords : Document similarity; Recommender systems; content-based filtering; collaborative filtering; Term Frequency-Inverse Document Frequency TF-IDF ; Bidirectional Encoder Representation from Transformers BERT ; Non-Negative Matrix Factorisation NMF ; cosine similarity; K-means clustering;

   Abstract : Help documents are important in an organization to use the technology applications licensed from a vendor. Customers and internal employees frequently use and interact with the help documents section to use the applications and know about the new features and developments in them. READ MORE

5. 4. Evaluating Cold-Start in Recommendation Systems Using a Hybrid Model Based on Factorization Machines and SBERT Embeddings

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

   Author : Sabrina Chowdhury; [2022]
   Keywords : Natural Language Processing; Hybrid Recommender Systems; Cold-Start Problem; språkteknologi; hybrida rekommendationssystem; kallstartsproblemet;

   Abstract : The item cold-start problem, which describes the difficulty of recommendation systems in recommending new items to users, remains a great challenge for recommendation systems that rely on past user-item interaction data. A popular technique in the current research surrounding the cold-start problem is the use of hybrid models that combine two or more recommendation strategies that may contribute with their individual advantages. READ MORE

6. 5. Using Recommendation Engines to Improve the userexperience in a Cloud Analytic Solution

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Muhammad Ishfaq; [2022]
   Keywords : ;

   Abstract : Recommender systems have become an integral part of everyday human life because of tworeasons: addressing the issue of information filtering in the world of big data which limits therecommendation engine’s capabilities, and improving user experience by helping the userswhat users want. It is very often that users are unable to find preferred results with a simplequery or are unaware that even if it exits. READ MORE