Book Image

Angular Services

Book Image

Angular Services

Overview of this book

A primary concern with modern day applications is that they need to be dynamic, and for that, data access from the server side, data authentication, and security are very important. Angular leverages its services to create such state-of-the-art dynamic applications. This book will help you create and design customized services, integrate them into your applications, import third-party plugins, and make your apps perform better and faster. This book starts with a basic rundown on how you can create your own Angular development environment compatible with v2 and v4. You will then use Bootstrap and Angular UI components to create pages. You will also understand how to use controllers to collect data and populate them into NG UIs. Later, you will then create a rating service to evaluate entries and assign a score to them. Next, you will create "cron jobs" in NG. We will then create a crawler service to find all relevant resources regarding a selected headline and generate reports on it. Finally, you will create a service to manage accuracy and provide feedback about troubled areas in the app created. This book is up to date for the 2.4 release and is compatible with the 4.0 release as well, and it does not have any code based on the beta or release candidates.
Table of Contents (15 chapters)
Angular Services
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Setting the ranking parameters


If we are going to choose two simple factors to rate the headlines, I would say lets do it based on the freshness of the news and the important keywords available in each headline. We don't want to investigate yesterday's news, so let's say if the news belongs to a timestamp within 24 hours from now, we give them a score of 1 and any news older than that won't score any points.

Keywords are important as well. A headline with important keywords deserves to receive a higher rate compared to bland and uninteresting topics. But how can we decide which keywords are important?

We can define a dictionary of keywords and save it into our Firebase db. That might be a good - temporary - solution, but in the long term it won't be practical or reliable. First, as the dictionary grows, analyzing the headlines and looking for keywords takes longer time. Secondly, how can we be certain that the keywords we have selected are trending globally and have a good rate in well-known...