Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …

Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …

As one of the cyber–physical–social systems that plays a key role in people's daily activities,
a smart city is producing a considerable amount of industrial data associated with …

In the era of big data, recommender system (RS) has become an effective information
filtering tool that alleviates information overload for Web users. Collaborative filtering (CF) …

Tour recommendation and itinerary planning are challenging tasks for tourists, due to their
need to select points of interest (POI) to visit in unfamiliar cities and to select POIs that align …

To maximize the economic benefits, a cloud service provider needs to recommend its
services to as many users as possible based on the historical user-service quality data …

Venue recommendation systems aim to effectively rank a list of interesting venues users
should visit based on their historical feedback (eg checkins). Such systems are increasingly …

A substantial progress in development of new and efficient tensor factorization techniques
has led to an extensive research of their applicability in recommender systems field. Tensor …

Link prediction is an important task in data mining, which has widespread applications in
social network research. Given a social network, the objective of this task is to predict future …

Collaborative filtering-based recommender systems are regarded as an important tool to
predict the items that users will appreciate based on the historical usage of users. However …