public MatchChat GetBestMatch(Conversation targetConversation, List <ConversationList> conversationLists, List <string> subjectGoals, List <UserData> matchingUsers, List <UserData> usersMatchingBot)
{
var bestMatch = new MatchChat {
matchConfidence = 0
};
var conversationMatchLists = _matchService.GetConversationMatchLists(targetConversation, conversationLists, subjectGoals);
foreach (var conversationMatchList in conversationMatchLists)
{
foreach (var conversation in conversationMatchList.matchConversations)
{
for (var index = 0; index < conversation.responses.Count; index++)
{
if (conversation.responses[index].matchConfidence > bestMatch.matchConfidence &&
userMatch(conversation, index, matchingUsers) && userMatch(conversation, index + 1, usersMatchingBot) &&
index + 1 < conversation.responses.Count)
{
bestMatch.matchConfidence = conversation.responses[index].matchConfidence;
bestMatch.analyzedChat = conversation.responses[index].analyzedChat;
bestMatch.responseChat = _matchService.GetResponseChat(conversation.responses, index);
}
}
}
}
return(bestMatch);
}
public MatchChat GetBestMatch(Conversation targetConversation, List <ConversationList> conversationLists, List <string> subjectGoals)
{
var bestMatch = new MatchChat {
matchConfidence = 0
};
var conversationMatchLists = _matchService.GetConversationMatchLists(targetConversation, conversationLists, subjectGoals);
foreach (var conversationMatchList in conversationMatchLists)
{
foreach (var conversation in conversationMatchList.matchConversations)
{
for (var index = 0; index < conversation.responses.Count; index++)
{
if (conversation.responses[index].matchConfidence > bestMatch.matchConfidence && conversation.responses[index].analyzedChat.chat.reactions.Count > 0)
{
bestMatch.matchConfidence = conversation.responses[index].matchConfidence;
bestMatch.analyzedChat = conversation.responses[index].analyzedChat;
bestMatch.responseChat = getAnalyzedChatsFromReactions(conversation.responses[index].analyzedChat.chat.reactions);
}
}
}
}
return(bestMatch);
}
private MatchChat GetMatch(Conversation targetConversation, AnalyzedChat existingResponse, double subjectMatchConfidence, double readingLevelMatchConfidence, bool existingGroupChat, string userlessReply, List <string> pathSubjects)
{
//TODO: add user comparison and user similarity to the algorithm for confidence, if user has same property as bot, etc.
var targetResponse = targetConversation.responses.Last();
var matchChat = new MatchChat
{
matchConfidence = 0,
analyzedChat = existingResponse
};
if (existingResponse.naturalLanguageData.responseConfidence == 0)
{
return(matchChat);
}
var uniqueConfidence = _uniqueConfidenceService.GetUniqueConfidence(userlessReply, targetConversation);
var replyConfidence = existingResponse.naturalLanguageData.responseConfidence;
var confidenceMultiplier = uniqueConfidence * replyConfidence;
var replyMatchConfidence = _matchConfidenceService.GetMatchConfidence(targetResponse.naturalLanguageData, existingResponse.naturalLanguageData, targetResponse.botName);
var replyPartScore = replyMatchConfidence * replyMatchRatio;
//TODO: lower the value of replyMatchConfidence if it's a shorter reply like "yes"
var conversationProximityScore = _subjectConfidenceService.GetConversationProximityMatchConfidence(targetResponse.naturalLanguageData.proximitySubjects, existingResponse.naturalLanguageData.proximitySubjects);
var proximityPartScore = conversationProximityScore * conversationProximityRatio;
var subjectMatchPartScore = subjectMatchConfidence * subjectMatchRatio;
var readingLevelMatchPartScore = readingLevelMatchConfidence * readingLevelMatchRatio;
var groupChatMatchConfidence = _groupChatConfidenceService.GetGroupChatConfidence(targetConversation.groupChat, existingGroupChat);
var groupChatPartScore = groupChatMatchConfidence * groupChatRatio;
var confidence = (replyPartScore + proximityPartScore + subjectMatchPartScore + readingLevelMatchPartScore + groupChatPartScore) * confidenceMultiplier;
var length = 0;
if (targetResponse.naturalLanguageData.sentences != null)
{
length = targetResponse.naturalLanguageData.sentences.SelectMany(s => s.Tokens).Count();
}
if (length < 5)
{
var exponent = 6 - length;
confidence = Math.Pow(confidence, exponent);
}
var bonusConfidence = getBonusConfidence(existingResponse, pathSubjects);
confidence = confidence + bonusConfidence;
matchChat.matchConfidence = confidence;
return(matchChat);
}
public List <string> GetResponse(MatchChat match)
{
var responses = new List <string>();
foreach (var matchChat in match.responseChat)
{
responses.Add(matchChat.chat.message);
}
return(responses);
}
private string ConvertProperty(AnalyzedChat target, MatchChat match, AnalyzedChat matchChat, string chat, UserData userData)
{
var property = _userPropertyService.GetProperty(matchChat, match.analyzedChat);
var botUserData = UserDatabase.UserDatabase.userDatabase.FirstOrDefault(u => u.userName == target.chat.botName);
if (!string.IsNullOrEmpty(property.name))
{
var botProperty = _propertyValueService.getPropertyByValue(property.name, userData);
if (!string.IsNullOrEmpty(botProperty.value))
{
chat.Replace(property.value, botProperty.value);
}
}
return(chat);
}
public List <string> ConvertResponse(AnalyzedChat target, MatchChat match)
{
var responses = new List <string>();
foreach (var matchChat in match.responseChat)
{
var chat = PaddedString(matchChat.chat.message);
chat = chat.Replace("@" + match.analyzedChat.chat.user, "@" + target.chat.user);
var originalUser = PaddedString(match.analyzedChat.chat.user);
var user = PaddedString(target.chat.user);
chat = chat.Replace(originalUser, user);
var userData = UserDatabase.UserDatabase.userDatabase.FirstOrDefault(u => u.userName == target.chat.user);
if (userData != null)
{
user = PaddedString(userData.nickNames.Last());
}
var originalUserData = UserDatabase.UserDatabase.userDatabase.FirstOrDefault(u => u.userName == match.analyzedChat.chat.user);
if (originalUserData != null)
{
foreach (var originalUserName in originalUserData.nickNames)
{
chat = chat.Replace(PaddedString(originalUserName), user);
}
}
chat = ConvertProperty(target, match, matchChat, chat, userData);
responses.Add(chat.Trim());
}
return(responses);
}