Easily calculate and handle authors’ pay on a multi-author blog by computing posts’ remuneration basing on admin defined rules. The administrator can specify criteria upon which payments should be computed and the stats will immediately be viewable. Both a general view with all users and a specific one for a author are possible. It can easily help you implement a revenue sharing/paid to write model for your business.
This add-on plugin for bbPress will allow anonymous users to subscribe to topics and get email notifications when a new reply is posted. The notification email includes an unsubscribe link.
bbPress notifications will keep to go out to registered users, this plugin only extends the thing to anonymous posters as well!
This article aims at presenting a method for computing the relevance of a given string (pattern) in a text. This algorithm is at the core of my WordPress plugin Smart Tag Insert.
First of all, there is a difference between a simple pattern matching and computing text pattern relevance. The question we are trying to address here is the following: I have a string, and I would like to know how much that string is relevant for a specific text. For example, let’s say we have “download music” as the string of which relevance we are interested into. How can we determine how much relevant it is for a specific article?
The simple approach
The easy thing one could try is run a pattern match of “download music” in the article text. That is okay, but suppose the article contained strings like “download the music”, or “download some music”, or “downloading music”, or “download good quality music”. It is clear that, to a human, all these strings are equivalent when trying to understand what the article is about: it is about downloading music, regardless of whether it is good, bad, a lot or little.
A simple pattern match would fall short, because it would exclude all those other strings and make it look like the content is not very much about downloading music, just because “download music” was never found exactly that way.
So the first point we need to acknowledge if we want to try to teach a machine to compute text pattern relevance, is that we need to find a way, at least a rough way, to teach it to grasp the meaning of the content.
On December 2016 I purchased the System76 6th gen Lemur. These are more of impressions than a real review, but may be helpful if you’re interested in buying a new laptop and were considering the new System76 Lemur. This is the review of the laptop released in December 2015. I purchased the version with Intel Core 6th gen i3 6100U, 8GB DDR3 and 256 GB SSD.
From 12th to 17th May I took part to the International Public Speaking Competition (IPSC) 2014 in London, representing my country, Italy. The topic was Imagination is more important than knowledge, and the title of my speech, which follows, was The largest dancing floor. The video of the italian version is available on YouTube or at the bottom here.
THE LARGEST DANCING FLOOR
What I propose today is a journey. A journey with our imagination, through physics, to disclose a picture of the world far more appreciable than the one we usually have.
Have you ever thought about how fake the reality we see is? Looking around us, we see all kinds of different things. And yet, it looks to me that we give for granted the most basic assumption, which is that these things exist as we see them. I mean, we see a penguin and we think that yeah, that’s the classic example of the capital-P Penguin, of the “penguiness”. But where is this “penguiness” to be seen? Can we think of it? Can we say it is real?
The UK Department of Transports has banned Google Glass from driving since it could divert drivers’ attention from the road. I guess it is better to use your hands to dial a number or text someone instead of telling your glasses to do so without getting your hands off the wheel, but whatever. Anyway, they have not banned something that does not distract drivers, they have banned a product that could dramatically increase safety on the road. I can think of two ways it would, but I am sure there are plenty more. Here my two ideas for Google Glass while driving:
There are two things I am currently working on:
- Integrating my Post Pay Counter WordPress plugin with PayPal, so that site administrators can pay their writers directly from their blog pages, without having to head to the PayPal website
Apparently, it turns out that you do not get to choose how much time you want to dedicate to the first point. That, matched with the fact that PayPal APIs are horrible and that the documentation is often useless, is making the whole process much longer than I thought. Meanwhile, I am sharing what I have come up with until now (which works pretty well, actually), scheduling a second part of the tutorial for when the job will be completed.
PayPal Adaptive Payments: what it is for
Adaptive payments handles payments between a sender of a payment and one or more receivers of the payment. You are an application owner, such as a merchant that owns a website, the owner of a widget on a social networking site, the provider of a payment application on mobile phones, and so on. Your application is the caller of Adaptive Payments API operations.
Standing to what I have been able to discover about PayPal’s different payment mechanisms over summer, Adaptive Payments represents the most flexible way to transfer funds from one account to another. Also, it seems the only method you can effectively integrate PayPal in your application. Adaptive Payments is in fact for those applications in which your account, as application developer, is not the one you are drawing funds from. Shortly, you need to move money on behalf of someone, and your application is the intermediary.
In my specific case, I needed a way to let administrators put their credentials into my plugin and have PayPal let me get money from their accounts and transfer it to their writers’ ones. Adaptive Payments method was really suitable because it allows six transactions per each request, so that it is possible to send different amounts to several people with only one API request. As bottom line (which I did not need and did not care to dive into), it also allows Chained Payments, in which the primary receiver passes part of the payment to other receivers, splitting the original amount.