CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data
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| Udgivet i: | arXiv.org (Feb 15, 2018), p. n/a |
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| Hovedforfatter: | |
| Andre forfattere: | , , , , |
| Udgivet: |
Cornell University Library, arXiv.org
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| Online adgang: | Citation/Abstract Full text outside of ProQuest |
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 2071553554 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 2071553554 | ||
| 045 | 0 | |b d20180215 | |
| 100 | 1 | |a Ouyang, Yi | |
| 245 | 1 | |a CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data | |
| 260 | |b Cornell University Library, arXiv.org |c Feb 15, 2018 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a In recent years, bike-sharing systems have been deployed in many cities, which provide an economical lifestyle. With the prevalence of bike-sharing systems, a lot of companies join the market, leading to increasingly fierce competition. To be competitive, bike-sharing companies and app developers need to make strategic decisions for mobile apps development. Therefore, it is significant to predict and compare the popularity of different bike-sharing apps. However, existing works mostly focus on predicting the popularity of a single app, the popularity contest among different apps has not been explored yet. In this paper, we aim to forecast the popularity contest between Mobike and Ofo, two most popular bike-sharing apps in China. We develop CompetitiveBike, a system to predict the popularity contest among bike-sharing apps. Moreover, we conduct experiments on real-world datasets collected from 11 app stores and Sina Weibo, and the experiments demonstrate the effectiveness of our approach. | |
| 653 | |a Client server computing | ||
| 653 | |a Business competition | ||
| 653 | |a Applications programs | ||
| 653 | |a Predictions | ||
| 653 | |a Mobile computing | ||
| 653 | |a Crowdsourcing | ||
| 700 | 1 | |a Guo, Bin | |
| 700 | 1 | |a Lu, Xinjiang | |
| 700 | 1 | |a Han, Qi | |
| 700 | 1 | |a Guo, Tong | |
| 700 | 1 | |a Yu, Zhiwen | |
| 773 | 0 | |t arXiv.org |g (Feb 15, 2018), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2071553554/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/1802.05568 |