LinkedIn is a business-oriented social networking service, which was founded in December 2002 and is mainly serves as professional networking. LinkedIn has been using Big Data to develop following product offerings-
1. People You May Know
This feature of LinkedIn reminds the users with the suggestions about other users present at LinkedIn who wish they might probably connect. Most of the LinkedIn data is offline and moves at a very slow pace. Through this feature, “People You May Know”, LinkedIn pre-computes the data by recording 120 Bn relationships per day in a Hadoop MapReduce pipeline, which is running 82 Hadoop jobs that are in need of 16TB of intermediate data. The data infrastructure uses bloom filters for accelerating join operations while running the jobs that provide 10 times better performance. There are 5 test algorithms producing an approximate data of 700 GB of output data, “People You May Know”
2. Skill Endorsements
Skill endorsements is a product used by the recruiters in order to look for the skills and endorsements of a particular candidate. A member can endorse any other member in their network, for a skill displayed on the profile of the endorsed person. Skill endorsement is a deep information extraction data problem. The workflow determines the various skills that exist for a member. The skills are then joined with the profile of a member, social graph, groups and other activity that can help in determining the skills for the person.
3. Jobs You May Be Interested In
LinkedIn uses various Machine Learning and Text Analysis algorithms for showing relevant jobs on a LinkedIn member’s profile.The textual content such as skills, experience and industry are extracted from user’s profile and similar features are extracted from the job listings on LinkedIn. A logistic regression is run for knowing the ranking of relevant jobs for a particular member based on the extracted set of features.
4. News Feed Updates
LinkedIn incorporates data analytics and intelligence for understanding what kind of information the user wishes to read, what subjects he might be interested in and all other types of updates.
In today’s innovation world Artificial Intelligence (AI) is the most well-known technology and became more popular.Testing AI Systems are extremely important to accomplish quality applications, testing an AI application requires an agile model interaction and the capacity to look at situations and recognize the progressions dependent on business needs.Quality assurance of AI applications has expanded massively.
Artificial intelligence applications should meet the 3 fundamental aspects like performance, safety, and security.How do you test AI applications?Quality Assurance (QA) is a key part of any product or technology and business delivery that it is one of the most important components of any software development cycle.Key aspects of testing AI applicationsData validation: For any effective AI application information, validation is an absolute necessity.
Input data should be free of errors.
In AI frameworks input information should be cleaned and approved to achieve expected results.
If input data isn't validated, it may lead to complications in an application.
For example, in case you are creating driverless autos like Cars, Trucks, invalid route map might cause some unacceptable destination and even lead to accidents.Core algorithm: Algorithms are vital in Artificial knowledge applications Since Algorithms are the core of the AI innovation which measures the data and create results.
If you work in the Iowa industrial manufacturing sector, it is very important for you to have a high quality, reliable fire suppression system in place in your manufacturing facility.
When looking into installing a fire suppression system, it is important to be aware of the fact that carbon dioxide fire suppression systems are widely considered to be the best option.
Carbon Dioxide: How Does It Work?If you are looking to acquire a fire suppression system, it may be helpful to understand how such a system works.
A carbon dioxide fire suppression system works by displacing oxygen and replacing it with carbon dioxide.
Advantages of a Carbon Dioxide Fire Suppression SystemThere are several advantages to using a carbon dioxide based fire suppression system.
This means that employing your carbon dioxide fire suppression system will not cause any harm to the people nearby, or any part of the environment in which it is utilized.
Here all you need to know about Games as a Service (GaaS).
It consists of what is GaaS, its features, benifits and how it works!
