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THE USE OF RECOMMENDER SYSTEMS IN WEB APPLICATIONS fiTHE TROI CASE

THE USE OF RECOMMENDER SYSTEMS IN WEB APPLICATIONS fiTHE TROI CASE 2025

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The document is a master's thesis by Donjeta Mulaj from the University for Business and Technology in Kosovo, focusing on the implementation of recommender systems in web applications, specifically through the development of the TROI search engine. The thesis discusses the importance of recommender systems in enhancing user satisfaction and business revenue by analyzing user behavior and preferences. It elaborates on various filtering techniques such as content-based, collaborative, and hybrid approaches, as well as the integration of ontology to improve recommendation accuracy. The TROI search engine aims to assist job seekers in Kosovo by aggregating job listings from multiple platforms and providing personalized job recommendations based on user profiles. The document includes methodologies, design processes, evaluations, and results demonstrating the effectiveness of the TROI system.

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Click ‘Get Form’ to open it in the editor.
Begin by reviewing the abstract section, which outlines the purpose and significance of the recommender systems discussed in the document.
Proceed to fill out your personal information in the registration form, including name, email, password, country, city, and job category.
Ensure all fields are completed accurately. If any errors occur during submission, our platform will notify you for corrections.
After successful registration, navigate through the home page to explore job listings tailored to your profile.
Utilize the search functionality to find specific job categories or positions that interest you.
Review recommendations generated based on your profile and previous interactions within the system.

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What are the applications of recommender systems?

A recommendation system (or recommender system) is a tool designed to provide personalized suggestions to users based on their preferences, behavior, and interactions with a platform.

What is the top n recommender system?

Top-N recommenders are systems that provide a ranked list of N products to every user; the recommendations are of items that the user will potentially like.

What are the three key problems that can lead to recommender systems to making small or big mistakes?

Three key challenges include handling the cold-start problem, managing data sparsity, and avoiding bias in recommendations. Addressing these effectively is critical for creating systems that provide accurate and useful suggestions to users.

What are the use cases for recommendation systems?

Recommendation systems have a wide range of use cases across several industries, including: eCommerce: Recommendation systems are widely used in eCommerce to provide personalized product recommendations to customers based on their past behaviors and preferences.

What is the difference between recommendation system and recommender system?

A recommender system (RecSys), or a recommendation system (sometimes replacing system with terms such as platform, engine, or algorithm) and sometimes only called the algorithm or algorithm, is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular

What are the six types of recommendation systems?

There are mainly six types of recommendation system. Collaborative Recommender system. Content-based recommender system. Demographic based recommender system. Utility based recommender system. Knowledge based recommender system. Hybrid recommender system.

What is the primary purpose of a recommendation system?

Recommender systems are essential for modern e-commerce platforms, playing a key role in improving the customer experience and increasing sales. These systems analyze customer data to provide personalized product suggestions, helping users discover items they might not have found on their own.

THE USE OF RECOMMENDER SYSTEMS IN WEB APPLICATIONS fiTHE TROI CASE 2025

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What are the applications of recommender systems?

What is the top n recommender system?

What are the three key problems that can lead to recommender systems to making small or big mistakes?

What are the use cases for recommendation systems?

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THE USE OF RECOMMENDER SYSTEMS IN WEB APPLICATIONS fiTHE TROI CASE 2025

Here's how it works

How to use or fill out THE USE OF RECOMMENDER SYSTEMS IN WEB APPLICATIONS – THE TROI CASE with our platform

Complete this form in 5 minutes or less

Got questions?

What are the applications of recommender systems?

What is the top n recommender system?

What are the three key problems that can lead to recommender systems to making small or big mistakes?

What are the use cases for recommendation systems?

What is the difference between recommendation system and recommender system?

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What are the six types of recommendation systems?

What is the primary purpose of a recommendation system?

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