Machine Learning

The SUSI.AI Web Chat provides responses for various queries, but the quality of responses it not always the best possible. Machine learning and deep learning algorithms will help us to solve this step by step. In order to implement machine learning, we need feedback mechanisms. The first step in this direction is to provide users with a way to give feedback to responses with a “thumbs up” or “thumbs down”. In this blog, I explain how we fetch the feedback of responses from the server.

On asking a query like tell me a quote, Susi responses with following message:

Now the user can rate the response by pressing thumbs up or thumbs down button. We store this response on the server. For getting this count of feedback we use the following endpoint:

BASE_URL+'/cms/getSkillRating.json?'+'model='+model+'&group='+group+'&skill='+skill;

Here:

• BASE_URL: Base URL of our server: http://api.susi.ai/
• model: Model of the skill from which response is fetched. For example “general”.
• group: The group of the skill from which response is fetched. For example “entertainment”.
• skill: name of the skill from which response is fetched. For example “quotes”.

We make an ajax call to the server to fetch the data:

$.ajax({
          url: getFeedbackEndPoint,
          dataType: 'jsonp',
          crossDomain: true,
          timeout: 3000,
          async: false,
          success: function (data) {
            console.log(getFeedbackEndPoint)
            console.log(data);
            if(data.accepted) {
              let positiveCount = data.skill_rating.positive;
              let negativeCount = data.skill_rating.negative;
              receivedMessage.positiveFeedback = positiveCount;
              receivedMessage.negativeFeedback = negativeCount;
            }

}

In the success function, we receive the data, which is in jsonp format. We parse this to get the desired result and store it in variable positiveCount and negativeCount. An example of data response is :

In the client, we can get value corresponding to positive and negative key as follows :

let positiveCount = data.skill_rating.positive;
let negativeCount = data.skill_rating.negative;

This way we can fetch the positive and negative counts corresponding to a particular response. This data can be used in many ways, for example:

• It can be used to display the number of positive and negative count next to the thumbs:
  
  
• It can be used in machine learning algorithms to improve the response that SUSI.AI provides.

Resources:

• Ajax’s guide on MDN: https://developer.mozilla.org/en-US/docs/AJAX/Getting_Started

Testing Link:

http://chat.susi.ai/