Google Wallet may have killed off physical debits cards earlier this year, but the service is now making it easier to send and receive money with the card you already have. With the launch of the Google Wallet web app, all you need to accept online payments from friends is a browser and debit card tied to your Google account. Of course, users can still use the Google Wallet app for iOS or Android Pay to pay their friends or accept funds on their mobile devices as well, and thanks to automatic transfers there's no need to cash out before the money shows up in your bank account. Finally, while Google Wallet is mostly aimed at person-to-person payments like Venmo, Squarecash and Paypal, Android Pay is also rolling out new integrations with hundreds of thousands of websites to simplify commercial check-out processes across the web.
As an ecommerce business owner, you're always looking for ways to grow your revenue. In order to do so, you need to adapt to the latest ecommerce trends. Here are three of the most disruptive trends you need to know to grow your business. The number of mobile internet users is growing by the minute. In fact in 2016, Bloomberg reported that mobile traffic on ecommerce websites surpassed that of desktop traffic.
Recent years have witnessed the increasing interests in research of crowdfunding mechanism. In this area, dynamics tracking is a significant issue but is still under exploration. Existing studies either fit the fluctuations of time-series or employ regularization terms to constrain learned tendencies. However, few of them take into account the inherent decision-making process between investors and crowdfund-ing dynamics. To address the problem, in this paper, we propose a Trajectory-based Continuous Control for Crowdfund-ing (TC3) algorithm to predict the funding progress in crowd-funding. Specifically, actor-critic frameworks are employed to model the relationship between investors and campaigns, where all of the investors are viewed as an agent that could interact with the environment derived from the real dynamics of campaigns. Then, to further explore the in-depth implications of patterns (i.e., typical characters) in funding series, we propose to subdivide them into fast-growing and slow-growing ones. Moreover, for the purpose of switching from different kinds of patterns, the actor component of TC3 is extended with a structure of options, which comes to the TC3-Options. Finally, extensive experiments on the Indiegogo dataset not only demonstrate the effectiveness of our methods, but also validate our assumption that the entire pattern learned by TC3-Options is indeed the U-shaped one. Introduction In recent years, crowdfunding has rapidly developed into a popular way of financial investment.