Nowadays, various recommender systems are popular and their main aim is to recommend
suitable content to the user based on various parameters. This article proposes a hybrid …

Recommendation Systems have become prevalent in recent years, attracting the attention of
researchers to investigate different methods to filter relevant information for users. This …

Besides the typical applications of recommender systems in B2C scenarios such as movie
or shopping platforms, there is a rising interest in transforming the human-driven advice …

This review discusses the integration of intelligent technologies into customer interactions in
organizations and highlights the benefits of using artificial intelligence systems based on a …

The exponential growth of data in the digital age has led to a significant demand for
innovative approaches to assess data in a manner that is both effective and efficient …

Recommender systems position themselves as powerful tools in the support of relevance
and personalization, presenting remarkable potential in the area of marketing. The cold-start …

Machine learning (ML) models are increasingly deployed to production, calling for efficient
inference serving systems. Efficient inference serving is complicated by two challenges:(i) …

In the current digital transformation era and e-commerce, recommendation systems (RS)
have become vital in optimizing profits and finding and reaching potential customers. Large …

Günümüz rekabet koşulları firmaları, özellikle perakende ve e-ticaret firmalarını, müşterilerini
daha iyi tanımaya, onların tercihlerini ve davranışlarını anlamaya, ihtiyaçlarını tahmin …