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Recommender systems: Techniques, applications, and challenges
Recommender systems (RSs) are software tools and techniques that provide suggestions
for items that are most likely of interest to a particular user. In this introductory chapter, we …
for items that are most likely of interest to a particular user. In this introductory chapter, we …
A literature review and classification of recommender systems research
DH Park, HK Kim, IY Choi, JK Kim - Expert systems with applications, 2012 - Elsevier
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 …
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
Recommender systems survey
Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …
on demographic, content-based and collaborative filtering. Currently, these systems are …
Introduction to recommender systems handbook
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 …
suggestions for items to be of use to a user. In this introductory chapter we briefly discuss …
Community detection in social recommender systems: a survey
Abstract Information extracted from social network services promise to improve the accuracy
of recommender systems in various domains. Against this background, community detection …
of recommender systems in various domains. Against this background, community detection …
A theory-driven design framework for social recommender systems
Social recommender systems utilize data regarding users' social relationships in filtering
relevant information to users. To date, results show that incorporating social relationship …
relevant information to users. To date, results show that incorporating social relationship …
Trust and recommendations
P Victor, M De Cock, C Cornelis - Recommender systems handbook, 2011 - Springer
Recommendation technologies and trust metrics constitute the two pillars of trust-enhanced
recommender systems. We discuss and illustrate the basic trust concepts such as trust and …
recommender systems. We discuss and illustrate the basic trust concepts such as trust and …
[PDF][PDF] Approaches, issues and challenges in recommender systems: a systematic review
Objectives: Today the recommendation technology has managed to achieve a distinct place
in the modern and fascinating world of e-commerce applications as it helps the user in …
in the modern and fascinating world of e-commerce applications as it helps the user in …
EventAction: Visual analytics for temporal event sequence recommendation
Recommender systems are being widely used to assist people in making decisions, for
example, recommending films to watch or books to buy. Despite its ubiquity, the problem of …
example, recommending films to watch or books to buy. Despite its ubiquity, the problem of …
Revisiting injective attacks on recommender systems
Recent studies have demonstrated that recommender systems (RecSys) are vulnerable to
injective attacks. Given a limited fake user budget, attackers can inject fake users with …
injective attacks. Given a limited fake user budget, attackers can inject fake users with …