내 봇이 인자와 함께 응답하도록 설정하는 방법은 무엇인가요?

전에 텔레그램 봇을 만들었는데, 다음과 같은 명령을 받을 수 있습니다:

• /list


• /info 123

이렇게 하면 /info를 잘 받을 수 있고 추가 인수를 정수로 전달할 수 있습니다. 그러나 텔레그램 클라이언트는 /info 123을 전체적인 명령으로 인식하지 않고 /info 부분만 인식합니다. 명령의 전체적인 내용을 명령으로 인식하게 할 방법이 있을까요?

마크다운으로 시도해 보았습니다: [/info 123](/info 123), 하지만 아무런 결과가 나오지 않았습니다. 가능할까요?

답변 1

저는 @BotSupport에 동일한 질문을 하기 위해 문의했고, 그/그녀/그것은 다음과 같은 답변을 빠르게 제공했습니다:

안녕하세요, 현재로서는 명령어의 매개변수를 강조하는 것이 불가능합니다. 어쨌든, 올바른 사용자 정의 키보드를 사용하면 해결책을 찾을 수도 있습니다 ;)
— @BotSupport

사용자 정의 키보드는 누군가에게는 옵션일 수 있지만, 저에게는 그렇지 않습니다. 제가 선택한 해결책은 명령어를 /info123과 같이 제공하는 것입니다. 봇이 모든 / 명령어를 받게되면, 받은 명령어가 info로 시작하는지 확인하고, 그렇다면 info 부분을 제거합니다. 남은 문자열/숫자를 인수로 변환하여 해당 명령어로 전달합니다.

답변 2

Title: Enhancing Bot Interactions: The Power of Argumentative Responses
Introduction:
In the era of advanced technology, chatbots have transformed the way businesses interact with customers. While their primary purpose is to provide helpful and informative responses, incorporating argumentative capabilities can greatly enhance the user experience. In this essay, we will explore why enabling argumentative responses in chatbots is essential for better engagement and discuss some effective strategies for optimizing these interactions.
1. The Importance of Argumentative Responses:
Enhancing a bot's responses with argumentation is crucial as it allows for more dynamic and engaging conversations. By presenting different perspectives and counter-arguments, chatbots can offer a more comprehensive user experience. Argumentation fosters critical thinking, expands knowledge, and improves decision-making processes. Additionally, it demonstrates that the chatbot understands and respects users' opinions, creating a sense of personalized interaction.
2. Increasing User Engagement:
Argumentative responses serve as catalysts for meaningful discussions between users and chatbots. They encourage users to ask follow-up questions, provide additional information, or consider alternative viewpoints. Such engagements foster a deeper level of user involvement, ultimately increasing user satisfaction and loyalty. By offering multiple arguments, chatbots can showcase their versatility and adaptability, catering to diverse user preferences and promoting a richer user experience.
3. Strategies for Optimizing Argumentative Responses:
To effectively optimize argumentative responses, several strategies can be implemented:
a) Knowledge Expansion: Ensuring that chatbots possess a vast knowledge base allows them to provide well-reasoned arguments. Deep learning algorithms, natural language processing, and machine learning techniques can be employed to continually expand the chatbot's knowledge and improve its argumentative capabilities.
b) Contextual Understanding: Chatbots should be able to discern the context of user queries to generate contextually relevant arguments. Incorporating sentiment analysis, understanding user intent, and utilizing contextual cues can help chatbots deliver more accurate and personalized responses.
c) Emotional Intelligence: Chatbots equipped with emotional intelligence capabilities can better empathize with users and respond appropriately during arguments. Emotion recognition algorithms and sentiment-based responses enable chatbots to acknowledge and address the emotions expressed, enhancing the user experience and fostering productive dialogues.
d) Learning from User Feedback: Incorporating feedback loops empowers chatbots to learn from ongoing interactions. Implementing a system that collects and analyzes user feedback on argumentative responses allows the chatbot to continuously improve its argumentation skills, enhancing its effectiveness over time.
Conclusion:
Enabling argumentative responses in chatbots is a powerful way to enhance user engagement, satisfaction, and overall user experience. By presenting well-reasoned arguments, chatbots stimulate critical thinking, encourage deeper involvement, and demonstrate adaptability. Incorporating strategies such as knowledge expansion, contextual understanding, emotional intelligence, and learning from user feedback can effectively optimize argumentative interactions. As businesses strive to provide exceptional customer experiences, implementing argumentative responses in chatbots proves to be a valuable asset in the ever-evolving digital landscape.