Essays about: "Collaborative-filtering"

Showing result 21 - 25 of 87 essays containing the word Collaborative-filtering.

1. 21. Creating a Recommender System for a Service Booking Website

   University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

   Author : Sakariya Mustaf Cali; [2020]
   Keywords : Recommender system; Booking; E-commerce; Collaborative filtering; User-based; Rekommendationssystem; Bokning; E-handel; Collaborative filtering; User-based;

   Abstract : Detta dokument presenterar implementeringen av ett rekommendationssystem för tjänstebokningssidan Boka.se. Rekommendationssystem omfattar mjukvaruverktyg och teknik för att generera förslag till en användare enligt deras preferenser och förekommer ofta på e-handelssidor. READ MORE

3. 22. Contextualizing music recommendations : A collaborative filtering approach using matrix factorization and implicit ratings

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Alexander Häger; [2020]
   Keywords : recommender; recommender systems; context; context-aware; CARS; music; music streaming; matrix factorization;

   Abstract : Recommender systems are helpful tools employed abundantly in online applications to help users find what they want. This thesis re-purposes a collaborative filtering recommender built for incorporating social media (hash)tags to be used as a context-aware recommender, using time of day and activity as contextual factors. READ MORE

4. 23. Music Recommendations; Approximating user distributions to address the cold start problem

   University essay from Lunds universitet/Statistiska institutionen

   Author : Johan Hammarstedt; [2020]
   Keywords : Music recommendation Content based filtering Collaborative filtering Matrix factorization user-feature distribution; Technology and Engineering;

   Abstract : In today's data driven society the world is at a point of information overload. As people rely on Google for information and other platforms such as Netflix and Spotify for entertainment, the need for relevant filtering of content has never been higher. As a result, recommendation systems have seen a great surge in demand. READ MORE

5. 24. Recommender System for Gym Customers

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Roshni Sundaramurthy; [2020]
   Keywords : Recommender system; collaborative filtering; matrix factorization; sparse matrix; latent semantic analysis; singular value decomposition; alternating least square; Bayesian personalized ranking; logistic matrix factorization; stochastic gradient descent; AUC metric; mean average precision; normalized discounted cumulative gain; Rekommendationssystem;

   Abstract : Recommender systems provide new opportunities for retrieving personalized information on the Internet. Due to the availability of big data, the fitness industries are now focusing on building an efficient recommender system for their end-users. This thesis investigates the possibilities of building an efficient recommender system for gym users. READ MORE

6. 25. Hellinger Distance-based Similarity Measures for Recommender Systems

   University essay from Umeå universitet/Statistik

   Author : Roma Goussakov; [2020]
   Keywords : ;

   Abstract : Recommender systems are used in online sales and e-commerce for recommending potential items/products for customers to buy based on their previous buying preferences and related behaviours. Collaborative filtering is a popular computational technique that has been used worldwide for such personalized recommendations. READ MORE