Essays about: "Cold-start problem"

Showing result 1 - 5 of 15 essays containing the words Cold-start problem.

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. Mitigating serverless cold starts through predicting computational resource demand : Predicting function invocations based on real-time user navigation

   University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

   Author : Gustav Persson; William Branth Sjöberg; [2023]
   Keywords : serverless functions; cold start; provisioned concurrency; adaptive scaling; mitigation; predicting function invocations; monitoring real-time user navigation;

   Abstract : Serverless functions have emerged as a prominent paradigm in software deployment, providing automated resource scaling, resulting in demand-based operational expenses. One of the most significant challenges associated with serverless functionsis the cold start delay, preventing organisations with latency-critical web applications from adopting a serverless technology. READ MORE

4. 3. 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

5. 4. A FaaS Instance Management Algorithm for Minimizing Cost subject to Response Time

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

   Author : Tianyu Zhang; [2022]
   Keywords : Serverless; Cloud Computing; Function as a Service; Kubernetes; Instance Management Algorithm; Serverless; Cloud Computing; funktion som tjänst; Kubernetes; algoritm för instanshantering;

   Abstract : With the development of cloud computing technologies, the concept of Function as a Service (FaaS) has become increasingly popular over the years. Developers can choose to create applications in the form of functions, and delegate the deployment and management of the infrastructure to the FaaS provider. READ MORE

6. 5. Behavior reflects preference : Mitigating the user cold-start in recommender systems with user telemetry data

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

   Author : Sebastian Mueller; [2021]
   Keywords : Machine learning; recommender system; cold-start; mobile application; user telemetry; Maskininlärning; rekommendationssystem; kallstart; mobilapplikation; användartelemetri;

   Abstract : Recommender Systems are information filtering systems that aim to predict a user’s preference for an item. A central challenge when building a Recommender System is the user cold-start, the integration of new users into the recommendation process. READ MORE