Situation Awareness for Push-Based Recommendations in Mobile Devices

Hermoso, Ramón; Dunkel, Jürgen; Krause, Jan

doi:10.1007/978-3-319-39426-8_10

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…For such surroundings, we propose to measure how long people stay in front of items for estimating their preferences. In past works, we implemented a recommender system for a museum [17] with a server-based architecture, which derives implicit ratings from visitor's movement data. 4 Figure 1 gives an example of a MANET system at a certain time instant.…”

Section: Architecture Overviewmentioning

confidence: 99%

“…Only ratings from users with a similarity beyond a certain threshold are accepted and integrated in u . 17 2. If user v is similar to user u, each entry z wi of the matrix v is inserted into matrix u .…”

Section: Stage 3: Data Fusionmentioning

confidence: 99%

“…For the sake of brevity, we do not consider optimized data structures for the sparse matrices u 17. Or at least the data of user v should not be forwarded to other users.…”

mentioning

confidence: 99%

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Towards MANET-based Recommender Systems for Open Facilities

Dunkel

Hermoso

2021

Appl Intell

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Nowadays, most recommender systems are based on a centralized architecture, which can cause crucial issues in terms of trust, privacy, dependability, and costs. In this paper, we propose a decentralized and distributed MANET-based (Mobile Ad-hoc NETwork) recommender system for open facilities. The system is based on mobile devices that collect sensor data about users locations to derive implicit ratings that are used for collaborative filtering recommendations. The mechanisms of deriving ratings and propagating them in a MANET network are discussed in detail. Finally, extensive experiments demonstrate the suitability of the approach in terms of different performance metrics.

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Section: Architecture Overviewmentioning

confidence: 99%

Section: Stage 3: Data Fusionmentioning

confidence: 99%

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Towards MANET-based Recommender Systems for Open Facilities

Dunkel

Hermoso

2021

Appl Intell

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“…In [25], common trends of architectural design, technologies, properties, and drawbacks of indoor positioning systems based on communications supported by smartphones are analyzed. Even though it is still not frequently used for inner-space navigation due to the open issues with indoor positioning (see, e.g., [12,25]), there are various works on the smartphone use for indoor route recommenders (see, e.g., [21,28,56]).…”

Section: Related Workmentioning

confidence: 99%

“…In [56], Yim presents an indoor-locationbased, context-aware, and video-on-demand Android app that actively recommends showcases that the user most likely wants to visit in a museum. Another recommender system that arranges personalized visits through a museum was proposed in [21]. The visits are arranged based on user profiles and visitor location data provided by in-door localization techniques.…”

Section: Related Workmentioning

confidence: 99%

A distributed architecture for real-time evacuation guidance in large smart buildings

Lujak

Billhardt

Dunkel

et al. 2017

ComSIS

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In this paper, we consider the route coordination problem in emergency evacuation of large smart buildings. The building evacuation time is crucial in saving lives in emergency situations caused by imminent natural or man-made threats and disasters. Conventional approaches to evacuation route coordination are static and predefined. They rely on evacuation plans present only at a limited number of building locations and possibly a trained evacuation personnel to resolve unexpected contingencies. Smart buildings today are equipped with sensory infrastructure that can be used for an autonomous situation-aware evacuation guidance optimized in real time. A system providing such a guidance can help in avoiding additional evacuation casualties due to the flaws of the conventional evacuation approaches. Such a system should be robust and scalable to dynamically adapt to the number of evacuees and the size and safety conditions of a building. In this respect, we propose a distributed route recommender architecture for situation-aware evacuation guidance in smart buildings and describe its key modules in detail. We give an example of its functioning dynamics on a use case.

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