A conceptual idea of artificial intelligence that begins at first to recognizes particular things that peeks the interest of an individual, and in time forms a data base of the users interests. Firstly The recorded data is collective information gathered from a variety of interests, where the AI then begins suggests things to the user. The user must simply give the answer of yes or no. For example, the suggestion bot asks the user what type of music they listen too, and from a selection of singers, genre, and the moods of the music, the suggestion bot would suggest a very broad range of music that could interest the user. In time and tracking the user in how they browse and look for music it will also recognize what kind of music they avidly listen, too and repeatedly. If the user selects yes to the suggestion bot, then all is well. However, whenever the user clicks no the suggestion bot will ask why? The user must then respond from a straightforward list of reasons. The user will give their input and suggestion bot will have then learnt about the user and narrow down the search music for the individual. Through the process of suggestions, and more yes and no’s, the AI will possess a better understanding of the user’s taste, and time patterns and so on. The suggestion bot will get so complex it will then be able to change the mood best fitted to the suction such as Gym music, happy or melancholic. Yet this at face first seems to be a machine that only recognizes, however there is the significant reason suggestion bot questions why the user doesn’t like specific music.. Additionally, the amount of information suggestion bot has gathered from the user it would then stop suggesting specific genres of music to people who listen to another style of music. An example is it would understand people who avidly listen to Music A, would most likely not enjoy music D. Suggestion bot would then understand to stop suggesting Music D, along
A conceptual idea of artificial intelligence that begins at first to recognizes particular things that peeks the interest of an individual, and in time forms a data base of the users interests. Firstly The recorded data is collective information gathered from a variety of interests, where the AI then begins suggests things to the user. The user must simply give the answer of yes or no. For example, the suggestion bot asks the user what type of music they listen too, and from a selection of singers, genre, and the moods of the music, the suggestion bot would suggest a very broad range of music that could interest the user. In time and tracking the user in how they browse and look for music it will also recognize what kind of music they avidly listen, too and repeatedly. If the user selects yes to the suggestion bot, then all is well. However, whenever the user clicks no the suggestion bot will ask why? The user must then respond from a straightforward list of reasons. The user will give their input and suggestion bot will have then learnt about the user and narrow down the search music for the individual. Through the process of suggestions, and more yes and no’s, the AI will possess a better understanding of the user’s taste, and time patterns and so on. The suggestion bot will get so complex it will then be able to change the mood best fitted to the suction such as Gym music, happy or melancholic. Yet this at face first seems to be a machine that only recognizes, however there is the significant reason suggestion bot questions why the user doesn’t like specific music.. Additionally, the amount of information suggestion bot has gathered from the user it would then stop suggesting specific genres of music to people who listen to another style of music. An example is it would understand people who avidly listen to Music A, would most likely not enjoy music D. Suggestion bot would then understand to stop suggesting Music D, along