Context-aware rule learning from smartphone data: survey, challenges and future directions
IH Sarker - Journal of Big Data, 2019 - Springer
Smartphones are considered as one of the most essential and highly personal devices of
individuals in our current world. Due to the popularity of context-aware technology and …
individuals in our current world. Due to the popularity of context-aware technology and …
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 …
Personalized travel sequence recommendation on multi-source big social media
Big data increasingly benefit both research and industrial area such as health care, finance
service and commercial recommendation. This paper presents a personalized travel …
service and commercial recommendation. This paper presents a personalized travel …
Personalized travel package recommendation
As the worlds of commerce, entertainment, travel, and Internet technology become more
inextricably linked, new types of business data become available for creative use and formal …
inextricably linked, new types of business data become available for creative use and formal …
Point-of-interest recommendation in location based social networks with topic and location awareness
The wide spread use of location based social networks (LBSNs) has enabled the
opportunities for better location based services through Point-of-Interest (POI) …
opportunities for better location based services through Point-of-Interest (POI) …
Mining mobile user preferences for personalized context-aware recommendation
Recent advances in mobile devices and their sensing capabilities have enabled the
collection of rich contextual information and mobile device usage records through the device …
collection of rich contextual information and mobile device usage records through the device …
Comparing context-aware recommender systems in terms of accuracy and diversity
U Panniello, A Tuzhilin, M Gorgoglione - User Modeling and User-Adapted …, 2014 - Springer
Although the area of context-aware recommender systems (CARS) has made a significant
progress over the last several years, the problem of comparing various contextual pre …
progress over the last several years, the problem of comparing various contextual pre …
Mining geographic-temporal-semantic patterns in trajectories for location prediction
In recent years, research on location predictions by mining trajectories of users has attracted
a lot of attention. Existing studies on this topic mostly treat such predictions as just a type of …
a lot of attention. Existing studies on this topic mostly treat such predictions as just a type of …
Unified point-of-interest recommendation with temporal interval assessment
Point-of-interest (POI) recommendation, which helps mobile users explore new places, has
become an important location-based service. Existing approaches for POI recommendation …
become an important location-based service. Existing approaches for POI recommendation …
A survey on sentiment analysis methods and approach
AM Abirami, V Gayathri - 2016 Eighth International Conference …, 2017 - ieeexplore.ieee.org
Data Analytics is widely used in many industries and organization to make a better Business
decision. By applying analytics to the structured and unstructured data the enterprises brings …
decision. By applying analytics to the structured and unstructured data the enterprises brings …