Anja Habacha Chaïbi

Extracting visual features for personalized recommendation using autoencoder

2024 · Procedia Computer Science

In recent years, product images have garnered increasing interest within recommendation systems, as the visual appearance of products strongly influences users’ decision. The primary goal of personalized recommendation systems is to provide suggestions that reflect …

Comparative study of word embedding methods in topic segmentation

2017 · Procedia Computer Science

The vector representations of words are very useful in different natural language processing tasks in order to capture the semantic meaning of words. In this context, the three known methods are: LSA, Word2Vec and GloVe. …