Essays about: "group recommender systems"

Showing result 6 - 10 of 11 essays containing the words group recommender systems.

  1. 6. Understanding the Challenges and Needs of Requirements Engineering for Data-centric Systems

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Venkata Sai Abhishek Poolla; Bhargav Krishna Mandava; [2021]
    Keywords : Requirements Engineering RE ; Multiple Case Study; Survey; Practices; Challenges.;

    Abstract : Background: As technology is advancing day by day, people tend to produce enormous volumes of data. This exceptional growth in data is leading to an increase in the development of intelligent systems that make use of this huge data available. READ MORE

  3. 7. 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

  4. 8. Improving Food Recipe Suggestions with Hierarchical Classification of Food Recipes

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

    Author : Pedram Fathollahzadeh; [2018]
    Keywords : collaborative filtering; content-based method; matrix factorization; recommender systems; hierarchical classification; food recipes;

    Abstract : Making personalized recommendations has become a central part in many platforms, and is continuing to grow with more access to massive amounts of data online. Giving recommendations based on the interests of the individual, rather than recommending items that are popular, increases the user experience and can potentially attract more customers when done right. READ MORE

  5. 9. A sentiment analysis approach to manage the new item problem of Slope One

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Jonas Johansson; Kenneth Runnman; [2017]
    Keywords : sentiment analysis; slope one; collaborative filtering; new item problem; cold start;

    Abstract : This report targets a specific problem for recommender algorithms which is the new item problem and propose a method with sentiment analysis as the main tool. Collaborative filtering algorithms base their predictions on a database with users and their corresponding ratings to items. READ MORE

  6. 10. Using A Recommender To Influence Consumer Usage

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Henric Carlsson; [2013]
    Keywords : Information fusion; recommender systems; smart grid; information overload;

    Abstract : In this dissertation, the issues of the increased awareness of energy use are considered. Energy technologies are continuously improved by energy retailers and academic researchers. The Smart Grid are soon customary as part of the energy domain. But in order to improve energy efficiency the change must come from the consumers. READ MORE