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Machine learning is everywhere these days including your smartphone, your email, your Amazon.com account and even your connected car. This article highlights the top 10 machine learning APIs on ProgrammableWeb. API capabilities include image tagging, speech recognition and predictive modeling.
Six APIs have been added to the directory today in Recommendations, Auto and Climate categories, among others. Also added: an SDK for use with CloudBoost database solutions.
Learn how to build a Tinder-style demo application that uses immediate Like/Dislike activities based on comic strips to build a recommendation tool based on those interactions.
MSDN’s Channel 9 recently implemented the Azure Machine Learning Algorithm API for video recommendations, with an implementation update that runs weekly to keep the model current.
With its AppViews software, URX is making available SDKs and APIs that let developers create a custom interface using the images and metadata in its recommendation engine.
Here's a look at ProgrammableWeb's most recent directory additions, including 8 new APIs, new source code samples and a new client.
Apartment Guide has just announced a new partnership with Reputation.com in conjunction with the release of their Review API. The API enables Reputation.com to aggregate Apartment Guide's 190,000 Resident Ratings & Reviews for analysis and reporting purposes.
The power of choice is a valuable part of our everyday lives, and with so many options at our disposal along with wildly different tastes and opinions, it's a good thing we have the freedom to choose. Based on this idea, it's easy to see how things like music charts, recommendations from film critics and general ratings on social media platforms may not be the opinions shared by everybody, and a recommendation system that could focus more on a person's specific preferences would be quite useful. That's pretty much what Tumbz has set out to do. The Tumbz API also makes it possible for this functionality to be integrated with other applications.
Word of mouth is the best kind of information when looking for advice on where to eat, places to stay, things to do and more. Applications like Yelp and Tripadvisor offer users great insight when it comes to reviews and recommendations, but Trippin' In takes this concept to the next level by providing up-to-date social rankings; instant insight into what's popular right now. The Trippin' In API makes it possible for this functionality to be integrated into already existing recommendation applications, further enhancing their relevance and appeal to users.
Our API directory now includes 40 reviews APIs. The newest is the Open Game API. The most popular, in terms of mashups, is the Shopzilla API. We list 27 Shopzilla mashups. Below you'll find some more stats from the directory, including the entire list of reviews APIs.
What makes a trip to a restaurant a great experience is not just the fact that they serve delicious food and good wine, but it has a lot to do with the atmosphere and overall 'vibe' of the place. Of course, a 'good vibe' means different things to different people (some like it chilled and some like it loud and bustling), so imagine how cool it would be to be able to browse through dining options based on the exact atmosphere you're looking for. That's what Hoppit is all about; finding restaurants by atmosphere. Hoppit's API provides access to this handy functionality.
Word of mouth is a powerful marketing tool, and businesses (not to mention the consumers), can benefit greatly from helpful reviews. Popyoular is an editorial review-based recommendation and discovery platform. It's aimed specifically at film, music, books and games. The idea is to connect a website's good content with trusted reviews and opinions about that content, helping to keep users engaged and directing them to things they may otherwise have overlooked. Popyoular's API makes it possible for developers to integrate this functionality into any other website.
Kippt, designed to make information workflow and archiving effortless, has launched a new API alongside a developer site and app gallery. The new, publicly available API simply opens up the existing Kippt API that continues to power the Kippt web service. Instead of pushing Kippt as a standalone product, the Kippt team hopes that the Kippt API will encourage developers to develop apps based on the Kippt platform.
A good recommendation can give your business a substantial boost. But just how do you get your potential customers to see the good things that others are saying about your company? Propers is a real-time recommendation engine that allows users to gather these recommendations and display them where required. Propers also provides the Proper API which allows third party developers to make use of this functionality and integrate it with other applications.
Event ticketing service SeatGeek has made its internal recommendations service available in the SeatGeek API. Developers can now integrate the advanced recommendations functionality of the SeatGeek platform into websites and applications.
InviteBox, social referral program, allows merchants, bloggers, developers (and anybody else with a web presence) to refer friends and customers to recommended products. Users can take advantage of pre-determined referral offers (e.g. coupons, promo codes, free products, cash incentives, etc.) or create custom incentive programs. InviteBox offers all the needed moving parts from creating the referral program to implementation, and the analytics to measure success. Users can simply insert a widget into a website or utilize the Reward Callback API.
Many a man (or woman) holds a deep passion for a good brew, and when faced with beer-themed conversation, would probably have a lot to say on the matter. So, where better to invest some time and intellect than an online community of enthusiasts, dedicated to all things beer? TheBeerSpot is just that - a place where the every day beer drinker, home brewers and people in the industry can connect and share anything beer related. TheBeerSpot API is available so that this data can be displayed or used on other websites or applications.