Recommender systems have become an important research field since the emergence of
the first paper on collaborative filtering in the mid-1990s. Although academic research on …

Purpose–The purpose of this paper is to classify and organize the accumulated knowledge
about mobile shopping (m-shopping) as revealed in the present literature regarding retail. A …

Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions for items to be of use to a user. In this introductory chapter we briefly discuss …

When people make decisions, they usually rely on recommendations from friends and
acquaintances. Although collaborative filtering (CF), the most popular recommendation …

Mobile phones are becoming a primary platform for information access and when coupled
with recommender system technologies they can become key tools for mobile users both for …

Collaborative filtering (CF)-based recommender systems represent a promising solution for
the rapidly growing mobile music market. However, in the mobile Web environment, a …

Predicting the preferences of users and providing the personalized services or products
based on their preferences are the important issues. However, the research considering …

Mobile web news services, which served by mobile service operators collecting news
articles from diverse news contents providers, provide articles sorted by category or on the …

Collaborative Filtering (CF), one of the most successful technologies among recommender
systems, is a system assisting users to easily find useful information. One notable challenge …

This study aimed to identify factors that influence user attitudes towards mobile
recommender systems and to examine how these factors interact with cultural values to …