Results 41 to 50 of about 232 (178)
Hybrid Model for Point-of-Interests Recommendation Based on Time Effect [PDF]
In Location-Based Social Networks(LBSNs),real-time recommendation data of Point-of-Interests(POIs) and check-in data of users are highly sparse.Therefore,a hybrid recommendation model based on time effect is proposed.Through the data model of potential ...
ZHANG Qishan, LI Ke, LIN Xiaorong
doaj +1 more source
Social dynamics in cities: analysis through LBSN data
Location-Based Social Networks data —LBSN data— reveal, in essence, user preferences and patterns of use of urban space. This information plays a key role in research on social dynamics in cities. Today, social network applications are widely available and this digital data represents a complementary and inescapable source of data for the analysis of ...
Almudena Nolasco-Cirugeda +1 more
openaire +2 more sources
A study of neighbour selection strategies for POI recommendation in LBSNs [PDF]
Location-based recommender systems (LBRSs) are gaining importance with the proliferation of location-based services provided by mobile devices as well as user-generated content in social networks. Collaborative approaches for recommendation rely on the opinions of like-minded people, so-called neighbours, for prediction.
Carlos Rios +2 more
openaire +2 more sources
A MAS-Based Approach for POI Group Recommendation in LBSN [PDF]
Location-based recommender systems (LBRS) suggest friends, events, and places considering information about geographical locations. These recommendations can be made to individuals but also to groups of users, which implies satisfying the group as a whole.
Silvia N. Schiaffino +3 more
openaire +1 more source
Location-based social networks (LBSNs) have rapidly prevailed in China with the increase in smart devices use, which has provided a wide range of opportunities to analyze urban behavior in terms of the use of LBSNs.
Muhammad Rizwan +2 more
doaj +1 more source
Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation
Point of interest (POI) recommendation is a significant task in location-based social networks (LBSNs) as it can help to suggest new locations and makes LBSNs more prevalent to users. Successive POI recommendation is a nature extension of the general POI
Yan Wen +4 more
doaj +1 more source
Due to the rapid growth of online and technology development, every people have an own mobile to search their doubts and easily find it out within a second. Hypertext induced topic search (HITS) is a link analyzed algorithm utilized to find reliable websites that satisfy broad‐topic queries.
John Vaseekaran S. +2 more
wiley +1 more source
The social functionality of places (e.g. school, restaurant) partly determines human behaviors and reflects a region’s functional configuration. Semantic descriptions of places are thus valuable to a range of studies of humans and geographic spaces ...
Ming Li, Rene Westerholt, Alexander Zipf
doaj +1 more source
In recent years, next location prediction has been of paramount importance for a wide range of location-based social network (LBSN) services. The influence of geographical and temporal contextual information (GTCI) is crucial for analyzing individual ...
Fatemeh Ghanaati +2 more
doaj +1 more source
Customized Tip Summarization Based on Customer Preferences in Online Social Networks
There has been a serious issue with overload of data because of the abundance of consumer‐generated suggestions on location‐based social networks (LBSNs). The amount and fragmented nature of all these brief comments make it hard for users to efficiently gather relevant details customized to their interests, even when they provide useful, current data ...
Muhmmad Al-Khiza’ay +5 more
wiley +1 more source

