Essays about: "Content-Based Filtering"
Showing result 1 - 5 of 32 essays containing the words Content-Based Filtering.
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1. Context-Aware Fashion Recommender Systems to Provide Intent-based Recommendations to Customers
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : 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
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2. Help Document Recommendation System
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)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
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3. Developing Machine Learning-based Recommender System on Movie Genres Using KNN
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : With an overwhelming number of movies available globally, it can be a daunting task for users to find movies that cater to their individual preferences. The vast selection can often leave people feeling overwhelmed, making it challenging to pick a suitable movie. READ MORE
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4. Ingredient-based Group Recommender for Recipes (IGR2)
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The number of food recipe options in modern society is vast and growing. While often being considered positive, the abundant options also lead to the so-called paradox of choice, i.e. that more options can lead to less happiness. READ MORE
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5. A graph database implementation of an event recommender system
University essay fromAbstract : The internet is larger than ever and so is the amount of information on the internet.The average user on the internet has next to endless possibilities and choices whichcan cause information overload. Companies have therefore developed systems toguide their users to find the right product or object in the form of recommendersystems. READ MORE