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i-Fence: A Spatio-Temporal Context-Aware Geofencing Framework for Triggering Impulse Decisions

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Big Data Analytics (BDA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12581))

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Abstract

Unlike traditional recommender systems, temporal and contextual user information has become indispensable for contemporary recommender systems. The internet-driven Context-Aware Recommender Systems (CARS) have been used by big brands like Amazon, Uber and Walmart for promoting sales and boosting revenues. This paper argues about the relevance of contextual information for any recommender system. A smartphone-based CARS framework was proposed to record temporal information about user actions and location. The framework was deployed within a geofenced area of five hundred meters around a popular food joint to record contextual and temporal information of seventy-two volunteers for ninety consecutive days. The framework was augmented with an integrated analytics engine to generate task-specific, intrusive, location-based personalized promotional offers for volunteers based upon their gained temporal and contextual knowledge. There were a total of 1261 promotional offers sent under different categories to registered smartphones of volunteers out of which 1016 were redeemed within the stipulated period. The food joint experienced a rise of 6.45% in its average weekly sales and proved the versatility of such a system for profitable business ventures and capital gain. The significance of the rise in sales was also confirmed statistically.

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Author information

Authors and Affiliations

  1. Institute of Engineering and Technology, Chitkara University, Punjab, India

    Jaiteg Singh, Ruchi Mittal & Varun Malik

  2. Chitkara Business School, Chitkara University, Punjab, India

    Amit Mittal

  3. Department of CSE, Thapar University, Punjab, India

    Karamjeet Singh

Authors
  1. Jaiteg Singh
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  2. Amit Mittal
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  3. Ruchi Mittal
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  4. Karamjeet Singh
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  5. Varun Malik
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Corresponding author

Correspondence to Amit Mittal .

Editor information

Editors and Affiliations

  1. ISAE-ENSMA, Chasseneuil, France

    Ladjel Bellatreche

  2. Indraprastha Institute of Information Technology, New Delhi, India

    Vikram Goyal

  3. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  4. Ashoka University, Sonepat, India

    Anirban Mondal

  5. IIIT Hyderabad, Hyderabad, India

    P. Krishna Reddy

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Singh, J., Mittal, A., Mittal, R., Singh, K., Malik, V. (2020). i-Fence: A Spatio-Temporal Context-Aware Geofencing Framework for Triggering Impulse Decisions. In: Bellatreche, L., Goyal, V., Fujita, H., Mondal, A., Reddy, P.K. (eds) Big Data Analytics. BDA 2020. Lecture Notes in Computer Science(), vol 12581. Springer, Cham. https://doi.org/10.1007/978-3-030-66665-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-66665-1_5

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