Content analysis and data mining of user tags are the cornerstones of the recommendation system. The content analysis derives intermedia data from raw articles and user behaviors. With content analysis, we are able to tag users, recommend and prepare content.
Motivation and incentives are at the core of performance management. Employee motivation primarily comes from two aspects: extrinsic and intrinsic incentives. Extrinsic rewards (monetary rewards) have a short-term effect and may not necessarily improve performance; fairness and consistency are also essential. Intrinsic rewards vary by individual and can be achieved through the following three methods: recognizing employees' work, providing decision-making authority, and offering challenges.
In order to evaluate user satisfaction, machine learning models are implemented. These models observe and measure the reality by feature engineering and further reduce latencies by recall strategy.
Stream and Batch processing frameworks can process high throughput at low latency. Why is Flink gaining popularity? And how to make an architectural choice among Storm, Storm-trident, Spark, and Flink?
Fraud Detection fights against account takeovers and Botnet attacks during login. Semi-supervised learning has better learning accuracy than unsupervised learning and less time and costs than supervised learning.
There is no good or bad management style; there is only effective and ineffective. The most important responsibility of a manager is to inspire subordinates to perform at their best. A person's task-related maturity depends on the specific work project, and its improvement takes time. When the maturity of the task and the individual's knowledge level and motivation reach a certain height, the manager can successfully delegate work to them.