Recommendation systems are gaining increasing popularity in many application areas like
e-commerce, movie and music recommendations, tourism, news, advertisement, stock …

Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …

Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

Ever since the beginning of civilization, travel for various causes exists as an essential part
of human life so as travel recommendations, though the early form of recommendations …

人类行为的定量化分析, 特别是时空统计规律的挖掘和建模, 是当前统计物理与复杂性科学研究
的热点. 对人类行为的深入理解, 有助于解释若干复杂的社会经济现象, 并在舆情监控, 疾病防治 …

Recommender systems are used to provide filtered information from a large amount of
elements. They provide personalized recommendations on products or services to users …

Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …

Location-based services (LBS) have been significantly developed and widely deployed in
mobile devices. It is also well-known that LBS applications may result in severe privacy …

The recommendation problem involves the prediction of a set of items that maximize the
utility for users. Numerous factors, such as the filtering method and similarity measure, affect …

Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …