Case-based Recommendation System Generator

Sustavi preporučivanja zasnovani na slučajevima je napravljen kao rješenje problemu hladnog početka (cold-start problem). To rade tako da identificiraju sličnosti između korisnikovog upita i skup proizvoda. Iskorištavanjem ovih sličnosti i korištenjem različitih tehnika, sustavi preporuka zasnovani na slučajevima mogu dati preporuke koje su u skladu s interesima i preferencijama korisnika. Sustavi preporuke zasnovani na slučajevima pokazali su se učinkovitima i uspješno su primijenjeni u raznim domenama kao što su e-trgovina, zabava, obrazovanje i zdravstvena skrb.Case-based recommender systems were created as a solution to the cold-start problem. They do this by identifying similarities between the user's query and a set of products. By exploiting these similarities and using different techniques, case-based recommender systems can provide recommendations that are in line with the users interests and preferences. Case-based recommender systems have proven to be effective and have been successfully applied in various domains such as e-commerce, entertainment, education, and healthcare