Mobile Computing, Applications, and Services. Third International Conference, MobiCASE 2011, Los Angeles, CA, USA, October 24-27, 2011. Revised Selected Papers

Research Article

Mobilewalla: A Mobile Application Search Engine

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  • @INPROCEEDINGS{10.1007/978-3-642-32320-1_12,
        author={Anindya Datta and Kaushik Dutta and Sangar Kajanan and Nargin Pervin},
        title={Mobilewalla: A Mobile Application Search Engine},
        proceedings={Mobile Computing, Applications, and Services. Third International Conference, MobiCASE 2011, Los Angeles, CA, USA, October 24-27, 2011. Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2012},
        month={10},
        keywords={Mobile App Search Engine Semantic Similarity},
        doi={10.1007/978-3-642-32320-1_12}
    }
    
  • Anindya Datta
    Kaushik Dutta
    Sangar Kajanan
    Nargin Pervin
    Year: 2012
    Mobilewalla: A Mobile Application Search Engine
    MOBICASE
    Springer
    DOI: 10.1007/978-3-642-32320-1_12
Anindya Datta1,*, Kaushik Dutta1,*, Sangar Kajanan1,*, Nargin Pervin1,*
  • 1: National University of Singapore
*Contact email: datta@comp.nus.edu.sg, dutta@comp.nus.edu.sg, skajanan@comp.nus.edu.sg, nargis@comp.nus.edu.sg

Abstract

With the popularity of mobile apps on mobile devices based on iOS, Android, Blackberry and Windows Phone operating systems, the number of mobile apps in each of the respective native app stores are increasing in leaps and bounds. Currently there are almost 700,000 mobile apps across these four major native app stores. Due to such enormous number of apps, both the constituents in the app ecosytem, consumers and app developers, face problems in terms of ‘app discovery’. For consumers, it is a daunting task to discover the apps they like and need among the huge number of available apps. Likewise, for developers, making it possible for users to discover their apps in the large number of available apps is a challenge. To address these issues, Mobilewalla(MW), provides an independent unbiased search engine for mobile apps with semantic search capabilities. It has also developed an objective scoring mechanism based on user and developer involvement with an app. The scoring mechanism enables MW to provide a number of other ways to discover apps - such as dynamically maintained ‘hot’ lists and ‘fast rising’ lists. In this paper, we describe the challenges of developing the MW platform and how these challenges have been mitigated. Lastly, we demonstrate some of the key functionalities of MW.