コード例 #1
0
        public HtmlString GetRecommendedVids(int userID)
        {
            RecommendedWatchML ml = new RecommendedWatchML();
            ML_BL ml_bl           = new ML_BL();
            List <VideoRepository> recommendedWatch = new List <VideoRepository>();

            var topics = ml_bl.GetUserTopics(userID);

            //Use ML to determine best recommended video based on interests
            var MLOutputs = ml.GetRecommendationsFromInterests(topics);

            if (MLOutputs.Any())
            {
                recommendedWatch.AddRange(dal.GetRecommendedVids(userID, whereIn: MLOutputs.Select(z => (int)z.VideoId).ToList()));
            }

            if (MLOutputs.Count < 5)
            {
                recommendedWatch.AddRange(dal.GetRecommendedVids(userID, top: 5 - MLOutputs.Count, whereNotIn: MLOutputs.Select(z => (int)z.VideoId).ToList()));
            }

            var vidsStr = ConvertVidGridHTMLSting(recommendedWatch);

            return(new HtmlString(vidsStr));
        }
コード例 #2
0
        internal HtmlString GetNextRecommendedWatch(Guid videoId)
        {
            ML_BL ml_bl = new ML_BL();
            // Get the ML Id from the table - each video is linked to two unique identifier, a GUID which is used by the applicable web-side and an int used by the ML
            var MLVideoId = ml_bl.GetMLVideoId(videoId);

            RecommendedWatchML ml = new RecommendedWatchML();
            var MLOutputs         = ml.GetRecommendationsFromPreviousWatch(MLVideoId); // Get Recommendation from trained model

            if (MLOutputs.Any())
            {
                return(new HtmlString(ConvertVidGridHTMLSting(dal.GetVideoByMLId(MLOutputs.Select(z => (int)z.nextWatch).ToList()), withSVG: false)));
            }

            else
            {
                return(null);
            }
        }