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.gitattributes

@@ -32,3 +32,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+ibcf_model.rds filter=lfs diff=lfs merge=lfs -text
+rating_matrix.rds filter=lfs diff=lfs merge=lfs -text
+ratings_filtered.rds filter=lfs diff=lfs merge=lfs -text
+svd_model.rds filter=lfs diff=lfs merge=lfs -text
+ubcf_model.rds filter=lfs diff=lfs merge=lfs -text

app.R

@@ -1,58 +1,152 @@
-library(shiny)
-library(bslib)
-library(dplyr)
-library(ggplot2)
-
-df <- readr::read_csv("penguins.csv")
-# Find subset of columns that are suitable for scatter plot
-df_num <- df |> select(where(is.numeric), -Year)
-
-ui <- page_sidebar(
-  theme = bs_theme(bootswatch = "minty"),
-  title = "Penguins explorer",
-  sidebar = sidebar(
-    varSelectInput("xvar", "X variable", df_num, selected = "Bill Length (mm)"),
-    varSelectInput("yvar", "Y variable", df_num, selected = "Bill Depth (mm)"),
-    checkboxGroupInput("species", "Filter by species",
-      choices = unique(df$Species), selected = unique(df$Species)
-    ),
-    hr(), # Add a horizontal rule
-    checkboxInput("by_species", "Show species", TRUE),
-    checkboxInput("show_margins", "Show marginal plots", TRUE),
-    checkboxInput("smooth", "Add smoother"),
-  ),
-  plotOutput("scatter")
-)
-
-server <- function(input, output, session) {
-  subsetted <- reactive({
-    req(input$species)
-    df |> filter(Species %in% input$species)
-  })
-
-  output$scatter <- renderPlot(
-    {
-      p <- ggplot(subsetted(), aes(!!input$xvar, !!input$yvar)) +
-        theme_light() +
-        list(
-          theme(legend.position = "bottom"),
-          if (input$by_species) aes(color = Species),
-          geom_point(),
-          if (input$smooth) geom_smooth()
-        )
-
-      if (input$show_margins) {
-        margin_type <- if (input$by_species) "density" else "histogram"
-        p <- p |> ggExtra::ggMarginal(
-          type = margin_type, margins = "both",
-          size = 8, groupColour = input$by_species, groupFill = input$by_species
-        )
-      }
-
-      p
-    },
-    res = 100
-  )
-}
-
-shinyApp(ui, server)
+# ==============================
+# Load Libraries
+# ==============================
+library(shiny)
+library(dplyr)
+library(shinycssloaders)
+library(shinyWidgets)
+library(recosystem)
+library(recommenderlab)  # যদি প্রয়োজন হয়
+
+# ==============================
+# Load Data & Models
+# ==============================
+movies <- readRDS("movies.rds")
+ratings_filtered <- readRDS("ratings_filtered.rds")
+rating_matrix <- readRDS("rating_matrix.rds")
+r <- readRDS("svd_model.rds")
+ubcf_model <- readRDS("ubcf_model.rds")
+ibcf_model <- readRDS("ibcf_model.rds")
+topN_svd_list <- readRDS("topN_svd.rds")
+
+# Ensure poster_url exists
+if(!"poster_url" %in% colnames(movies)){
+  movies$poster_url <- "https://via.placeholder.com/150x225.png?text=No+Poster"
+} else {
+  movies$poster_url <- ifelse(is.na(movies$poster_url),
+                              "https://via.placeholder.com/150x225.png?text=No+Poster",
+                              movies$poster_url)
+}
+
+# ==============================
+# Recommendation Function
+# ==============================
+recommend_movies <- function(user_id, N = 10, model_type = "SVD") {
+  
+  if(!(user_id %in% rownames(rating_matrix))) {
+    return(data.frame(title="No recommendations available", 
+                      poster_url="https://via.placeholder.com/150x225.png?text=No+Poster"))
+  }
+  
+  if(model_type == "SVD") {
+    user_movies <- ratings_filtered %>% filter(userId == user_id) %>% pull(movieId)
+    unseen_movies <- setdiff(unique(ratings_filtered$movieId), user_movies)
+    
+    if(length(unseen_movies) == 0) {
+      return(data.frame(title="No recommendations available", 
+                        poster_url="https://via.placeholder.com/150x225.png?text=No+Poster"))
+    }
+    
+    unseen_df <- data.frame(user = user_id, item = unseen_movies)
+    pred_ratings <- r$predict(data_memory(user = unseen_df$user, item = unseen_df$item))
+    
+    top_n_df <- data.frame(movieId = unseen_movies, pred_rating = pred_ratings) %>%
+      arrange(desc(pred_rating)) %>%
+      head(N)
+    
+    recs <- movies %>% filter(movieId %in% top_n_df$movieId) %>%
+      select(title, poster_url)
+    
+  } else if(model_type == "UBCF") {
+    pred <- predict(ubcf_model, rating_matrix[user_id,], type="topNList", n=N)
+    ids <- as(pred, "list")[[1]]
+    recs <- movies %>% filter(movieId %in% as.numeric(ids)) %>%
+      select(title, poster_url)
+    
+  } else if(model_type == "IBCF") {
+    pred <- predict(ibcf_model, rating_matrix[user_id,], type="topNList", n=N)
+    ids <- as(pred, "list")[[1]]
+    recs <- movies %>% filter(movieId %in% as.numeric(ids)) %>%
+      select(title, poster_url)
+    
+  } else {
+    stop("Invalid model_type. Choose 'SVD', 'UBCF', or 'IBCF'.")
+  }
+  
+  if(nrow(recs) == 0) {
+    recs <- data.frame(title="No recommendations available", 
+                       poster_url="https://via.placeholder.com/150x225.png?text=No+Poster")
+  }
+  
+  return(recs)
+}
+
+# ==============================
+# Shiny UI
+# ==============================
+ui <- fluidPage(
+  tags$head(
+    tags$style(HTML("
+      .header-emoji { font-size:34px; font-weight:bold; background: linear-gradient(90deg, #ff4e50, #f9d423);
+        -webkit-background-clip:text; -webkit-text-fill-color:transparent; animation:gradient 3s ease infinite;}
+      @keyframes gradient {0% {background-position:0%} 50% {background-position:100%} 100% {background-position:0%}}
+      body { background-color: #fff0f5; }
+      .btn-success { background: linear-gradient(45deg, #ff6b6b, #fbc531); color: #fff; font-weight:bold; transition:transform 0.2s; }
+      .btn-success:hover { transform:scale(1.05); box-shadow:0px 4px 20px rgba(0,0,0,0.4); }
+      .poster img { transition: transform 0.3s; border-radius:10px; }
+      .poster img:hover { transform: scale(1.1) rotate(-2deg); box-shadow:0px 4px 20px rgba(0,0,0,0.5); }
+      .title { text-align:center; font-size:12px; font-weight:bold; margin-top:5px; }
+      .recommendation-scroll { max-height:600px; overflow-y:auto; }
+      .tags-overlay { position:relative; }
+      .tags-overlay span { position:absolute; top:5px; left:5px; font-size:16px; animation:sparkle 1.5s infinite; }
+      @keyframes sparkle { 0%,100% {opacity:1;} 50% {opacity:0.3;} }
+    "))
+  ),
+  
+  titlePanel(tags$div("🎥 MovieLens Recommendation System 🍿", class="header-emoji")),
+  
+  sidebarLayout(
+    sidebarPanel(
+      numericInput("user_id", "Enter User ID:", value = 1, min = 1, max = nrow(rating_matrix)),
+      selectInput("model_type", "Select Model:", choices = c("SVD", "UBCF", "IBCF"), selected = "UBCF"),
+      numericInput("top_n", "Number of Recommendations:", value = 10, min = 1, max = 20),
+      actionBttn("recommend_btn", "GET RECOMMENDATIONS ✨", style="material-flat", color="success")
+    ),
+    
+    mainPanel(
+      h4("Recommended Movies 🎬:", style="color:darkblue;"),
+      withSpinner(uiOutput("recommendations_ui"), type=6)
+    )
+  )
+)
+
+# ==============================
+# Shiny Server
+# ==============================
+server <- function(input, output) {
+  recommendations <- eventReactive(input$recommend_btn, {
+    recommend_movies(user_id=input$user_id, N=input$top_n, model_type=input$model_type)
+  })
+  
+  output$recommendations_ui <- renderUI({
+    recs <- recommendations()
+    div(class="recommendation-scroll",
+        fluidRow(
+          lapply(1:nrow(recs), function(i){
+            column(2,
+                   div(class="poster tags-overlay",
+                       tags$img(src=recs$poster_url[i], width="150px", height="225px"),
+                       tags$span("✨"),
+                       tags$p(recs$title[i], class="title")
+                   )
+            )
+          })
+        )
+    )
+  })
+}
+
+# ==============================
+# Run Shiny App
+# ==============================
+shinyApp(ui = ui, server = server)

ibcf_model.rds

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14ae7fb024b0df253b31accc279f84252fbc411cf92c8c31adcb7d1fa0636247
+size 653670

rating_matrix.rds

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43de29f7b045c4e3bdabb4d689632c0cee2e31875825928babb5547504700dad
+size 194301

ratings_filtered.rds

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab853be84aa3660d288fed026ddef4ed927977d7f367c1f69ce1ef4ea6b08d70
+size 1089758

svd_model.rds

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95fd43eda3744b0f6a59c89ff41f3b92404b6cf8edef0ed7fd9c491a60d5dc80
+size 266028

ubcf_model.rds

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4316a1d9804ac27da75d4f0b8709c3881df400a41845d3dd88984c8607f3b285
+size 974157