Sentences with phrase «messaging app category»

«There are many small companies that fit into this messaging app category,» telecommunications analyst Jeff Kagan told the E-Commerce Times.

At the same time, RIM could own the entire messaging app category on every major smartphone OS platform and could potentially draw new users in because it has given them a taste of what BlackBerry Messenger is all about.

Not exact matches

Mobile chat, the category of apps that facilitate the exchange of messages, emojis, photos and other content over the Internet from a smartphone or tablet, is an increasingly crowded space.

The mini-programs that include features across different categories such as e-commerce, gaming, and food delivery which has done an effective job of keeping users within the messaging app.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

As is the case with most other dating apps in this category the features you can use in the free version are very limited — if you actually want to exchange messages with someone you like you'll have to sign up for a membership.

Android is blessed with many, many, many different apps to handle text messages for you, but as with any category of app.

This includes limiting what apps can collect from events, groups and pages; changes to the Facebook Login system where people can use Facebook to log into other apps; updates to the Instagram Platform API; changing search and recovery to prevent profile scraping; making sure Facebook doesn't collect the content of Facebook Messages or call length; and the shutting down of Partner Categories.

By popularity, the messaging app ranks No. 15 on Mac iOS in the social networking category and No. 14 on Android in the communication category, according to SimilarWeb, a third - party app usage tracker.

Of the Android messaging apps, Allo has the most robust set of notification channel categories.

The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary modeling algorithms — which the contract specifies are based on using Facebook likes to predict personality scores, with the stated aim of predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their modeled psychometric scores.

Basically, an app can tell Android that it has multiple types of notifications — like marketing, messaging, reminders, whatever — and allow you to set up different notification rules for each category.