A systematic review of scholar context-aware recommender systems

Champiri, Zohreh Dehghani; Shahamiri, Seyed Reza; Salim, Siti Salwah

doi:10.1016/j.eswa.2014.09.017

Cited by 113 publications

(51 citation statements)

References 57 publications

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“…Scientific research papers are normally categorised based on their methods and approach. Glass et al (2002), Musumba and Nyongesa (2013) and Ramesh et al (2014) 2 have identified context acquisition, sensing, modelling, inference Schmidt, 2013;Champiri et al, 2015) as contending issues in context-awareness services using context interaction. The classification used in this study is employed from similar SLR research articles such as Ampatzoglou and Stamelos (2010), relating the whole idea to the concept of research of interest conducted in this study.…”

Section: Classification Approachmentioning

confidence: 99%

A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters

Sadiq¹,

Selamat²,

Ibrahim³

2018

IJDET

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This paper presents a systematic literature review on context-awareness using activity recognition for mitigation of disasters. Disaster preparedness and the method of mitigating it or reduction of causalities are very important in order to save human lives. The review process went through four phases which are: planning, collation, filtration of dataset to get the most relevant materials, exploration and the description based on findings was carried out. The problem with the existing studies are: technology used lack the capacity to give feedback to potential victims, inability to move F.I. Sadiq et al.the technology around, high false negative alarm, low sensor quality for crowd behaviour monitoring. This study used smartphones which is handy and has potential of being carried about. The analysis of the result was presented under three major headings which are publication by year, techniques, results and findings. The result shows the research gap in the area of disaster mitigation and the further study suggests the need to extend context-aware framework for stampede prediction based on activity recognition accuracy used in the previous study.

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Section: Classification Approachmentioning

confidence: 99%

A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters

Sadiq¹,

Selamat²,

Ibrahim³

2018

IJDET

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“…In the traditional recommender systems only two things users and items are considered while giving recommendations. So, traditional recommender systems are two-dimensional and can be described by the rating function S [6] as follows:…”

Section: Introductionmentioning

confidence: 99%

Location based context aware recommender system through user defined rules

Sharma

Kaur

2015

International Conference on Computing, Communication &Amp; Automation

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Recommender systems are a subclass of information filtering system and are widely used in the ecommerce domain [13]. They filter huge amount of data to provide personalized recommendations on services or products to users. Most of the existing approaches to develop a recommender system do not take into account contextual information such as weather, day, time, distance and location to provide recommendations. This paper proposes a location based context aware recommender system [9] that uses a ranking function to provide top-k recommendations to the user. The contextual data is defined by the users in the form of rules and RuleML [1] is chosen as a rule based language. When an active user needs recommendations of nearby places then contextual data in the user-defined RuleML rules is extracted, evaluated and top-k recommendations of nearby places based on the ranking function are presented to the user.

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“…Glass et al (2002), Musumba and Nyongesa (2013) and Ramesh et al (2014) 2 have identified context acquisition, sensing, modelling, inference Schmidt, 2013;Champiri et al, 2015) as contending issues in context-awareness services using context interaction. The classification used in this study is employed from similar SLR research articles such as Ampatzoglou and Stamelos (2010), relating the whole idea to the concept of research of interest conducted in this study.…”

Section: Classification Approachmentioning

confidence: 99%

A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters

Sadiq

Selamat²,

Ibrahim

2018

IJDET

View full text Add to dashboard Cite

This paper presents a systematic literature review on context-awareness using activity recognition for mitigation of disasters. Disaster preparedness and the method of mitigating it or reduction of causalities are very important in order to save human lives. The review process went through four phases which are: planning, collation, filtration of dataset to get the most relevant materials, exploration and the description based on findings was carried out. The problem with the existing studies are: technology used lack the capacity to give feedback to potential victims, inability to move 178 F.I. Sadiq et al.the technology around, high false negative alarm, low sensor quality for crowd behaviour monitoring. This study used smartphones which is handy and has potential of being carried about. The analysis of the result was presented under three major headings which are publication by year, techniques, results and findings. The result shows the research gap in the area of disaster mitigation and the further study suggests the need to extend context-aware framework for stampede prediction based on activity recognition accuracy used in the previous study.

show abstract

A systematic review of scholar context-aware recommender systems

Cited by 113 publications

References 57 publications

A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters

A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters

Location based context aware recommender system through user defined rules

A systematic literature review on activity recognition with context-awareness techniques for mitigation of disasters

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