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[HTML][HTML] A survey of research hotspots and frontier trends of recommendation systems from the perspective of knowledge graph
B Shao, X Li, G Bian - Expert Systems with Applications, 2021 - Elsevier
With the advent of the era of big data, the recommendation system has become an effective
solution to the problem of information overload. This paper takes the literature data related to …
solution to the problem of information overload. This paper takes the literature data related to …
Context-aware recommender systems in mobile environment: On the road of future research
Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …
owing to the technological progress in mobile devices, such as smartphones and tablets, as …
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 …
Recommendations in location-based social networks: a survey
Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …
networking services, allowing users to share their locations and location-related contents …
Dynamic response of a pile in a multi-layered soil to transient torsional and axial loading
The dynamic response of an elastic pile subjected to transient torsional and axial loading is
considered. The pile is embedded in a multi-layered elastic soil. The stress field in a soil is …
considered. The pile is embedded in a multi-layered elastic soil. The stress field in a soil is …
Improving large area population map** using geotweet densities
Many different methods are used to disaggregate census data and predict population
densities to construct finer scale, gridded population data sets. These methods often involve …
densities to construct finer scale, gridded population data sets. These methods often involve …
[HTML][HTML] Creating personalized recommendations in a smart community by performing user trajectory analysis through social Internet of Things deployment
Despite advancements in the Internet of Things (IoT) and social networks, develo** an
intelligent service discovery and composition framework in the Social IoT (SIoT) domain …
intelligent service discovery and composition framework in the Social IoT (SIoT) domain …
Context-and category-aware double self-attention model for next POI recommendation
Abstract Point-of-Interest (POI) recommender systems can effectively assist users to find their
preferred POIs. Recent studies mainly focus on extracting users' dynamic context from their …
preferred POIs. Recent studies mainly focus on extracting users' dynamic context from their …
A mobile recommendation system based on logistic regression and gradient boosting decision trees
Real-life behaviors shown by the mobile users typically exhibit plenty noises, making it hard
to construct an effective recommendation engine. In this paper, we present a fused model …
to construct an effective recommendation engine. In this paper, we present a fused model …
Improving collaborative filtering-based recommender systems results using Pareto dominance
Recommender systems are a type of solution to the information overload problem suffered
by users of websites that allow the rating of certain items. The collaborative filtering …
by users of websites that allow the rating of certain items. The collaborative filtering …