Rule-based chatbots use predefined rules to determine how to respond to user inputs. These rules are basically base on keywords or specific phrases that the chatbot is program to look for in the user’s message. When the chatbot receives a message, it scans the message for any of these keywords or phrases and uses the corresponding predefined rule to determine how to respond.
For example, a chatbot designed to help users book flights might be programmed with a set of rules that look for specific keywords like “booking” and “flight.” If the user’s message contains one of those keywords, the chatbot will generate a response using the corresponding rule and provide the user with information on how to book a flight.
While this type of chatbot two days were set aside for can be effective for handling simple queries and providing direct information, its ability to understand more complex messages is limited.
Chatbot Architecture
Chatbot architecture refers to to carry out a shopping campaign we will use the overall design and structure of a chatbot system, including the components and technologies used to build and operate the chatbot. The architecture of a chatbot can vary depending on the application, but most chatbots follow a similar basic structure that includes the following components:
1. Natural language processing (NLP)
It is the chatbot component that is responsible for understanding the meaning and intent of the message written by the user. NLP uses algorithms and machine learning techniques to analyze the user’s input.
2. Knowledge base
A knowledge base is a collection consumer data of information and data that the chatbot uses to create responses and provide information to users. This may include information about products, services, policies, procedures, and other topics that the chatbot is design to help with.
3. Dialogue manager
A dialogue manager is the chatbot component responsible for controlling the flow of the conversation and deciding how to respond to user input. This may involve using predefined rules, machine learning algorithms, or other techniques to generate a response based on the user’s input and the current context of the conversation.
4. User interface
The user interface is the chatbot component that users interact with to send messages and receive responses. This could be a chat window on a website or mobile app, a voice interface on a smart speaker, or some other type of interface.
Types of Chatbots
These rules basically involve searching for specific keywords or phrases in the user’s message and using the predefined rule to generate a response. Rule-based chatbots are relatively simple to create. They are effective for handling simple queries and providing direct information. Their ability to understand more complex or detailed messages is limited.