Research Article
Demonstration of Mobilewalla
@INPROCEEDINGS{10.1007/978-3-642-32320-1_25, author={Anindya Datta and Kaushik Dutta}, title={Demonstration of Mobilewalla}, 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_25} }- Anindya Datta
Kaushik Dutta
Year: 2012
Demonstration of Mobilewalla
MOBICASE
Springer
DOI: 10.1007/978-3-642-32320-1_25
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 demonstrate some of the key functionalities of MW.