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box::use( |
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shiny[ |
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moduleServer, |
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textOutput, |
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renderText, |
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NS, |
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tags, |
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req, |
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div, |
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actionButton, |
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reactiveVal, |
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tagList, |
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observeEvent, |
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uiOutput, |
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renderUI |
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], |
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dplyr[select], |
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methods[as], |
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shinyWidgets[checkboxGroupButtons], |
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purrr[pmap], |
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data.table[data.table, fwrite] |
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|
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) |
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|
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box::use( |
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app/logic/tfidf_model[get_recommendations], |
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app/logic/SVD_model[SVD_predict], |
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app/logic/item_item_model[get_item_item_recommendations], |
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app/logic/utils[split_number, get_random_titles], |
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app/view/react[BookCard], |
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) |
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ui <- function(id) { |
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ns <- NS(id) |
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div( |
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class = "flex-center", |
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checkboxGroupButtons( |
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inputId = ns("genre_selector"), |
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label = "Choose genres to be included:", |
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choices = c(`<div class=''>fantasy</div>` = "fantasy", |
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`<span class=''>children</span>` = "children", |
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`<span class=''>history & biography</span>` = "history_biography", |
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`<span class=''>comics</span>` = "comics", |
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`<span class=''>romance</span>` = "romance", |
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`<span class=''>poetry</span>` = "poetry", |
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`<span class=''>YA</span>` = "YA", |
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`<span class=''>crime</span>` = "crime" |
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), |
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justified = TRUE, |
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), |
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textOutput(ns("mytext1")), |
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|
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|
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actionButton(ns("get_recommend_btn"), "Get Recommendations"), |
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uiOutput(ns("bookCardsOutput")) |
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) |
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} |
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server <- function(id, ratings_tab, SVD_model, corp_dfm, item_item_df, query_book_ids, data_tab, how_many, simil_metrics, method = "SVD") { |
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moduleServer(id, function(input, output, session) { |
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book_recommends_tab <- reactiveVal() |
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|
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observeEvent(input$get_recommend_btn, { |
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gargoyle::trigger("start_recommend_event") |
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}) |
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|
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observeEvent(gargoyle::watch("start_recommend_event"), { |
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req(query_book_ids()) |
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if (method == "SVD") { |
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recommendations <- SVD_predict(data_tab, query_book_ids(), ratings_tab, SVD_model, select_user_mat, how_many = how_many) |
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book_recommends_tab(recommendations) |
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} |
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else if (method == "TFIDF") { |
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recommendations <- get_recommendations(corp_dfm, data_tab, query_book_ids(), input$genre_selector, "cosine", how_many) |
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book_recommends_tab(recommendations) |
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} |
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else if (method == "item-item") { |
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recommendations <- get_item_item_recommendations(item_item_df, data_tab, query_book_ids(), how_many) |
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book_recommends_tab(recommendations) |
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} |
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else { |
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parts <- split_number(how_many, 3) |
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|
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SVD_recommends <- SVD_predict(data_tab, query_book_ids(), ratings_tab, SVD_model, select_user_mat, how_many = parts[1]) |
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tfidf_recommends <- get_recommendations(corp_dfm, data_tab, query_book_ids(), input$genre_selector, "cosine", parts[2]) |
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item_item_recommendations <- get_item_item_recommendations(item_item_df, data_tab, query_book_ids(), how_many) |
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|
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all_recs <- rbind(SVD_recommends, tfidf_recommends, item_item_recommendations) |
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all_recs <- all_recs[sample(1:nrow(all_recs)), ] |
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book_recommends_tab(all_recs) |
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|
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} |
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}) |
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|
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observeEvent(input$myval, { |
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req(input$myval) |
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record <- input$myval |
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record_row <- data.table( |
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query_book_id = query_book_ids(), |
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recommended_title = record$title, |
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model = record$model, |
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datetime = date() |
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) |
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fwrite(record_row, "system_recommendations_log.csv", append = TRUE) |
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|
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}) |
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|
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output$bookCardsOutput <- renderUI({ |
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req(book_recommends_tab()) |
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pmap(.l = book_recommends_tab(), .f = create_card) |
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}) |
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}) |
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} |
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create_card <- function(title, average_rating, description, url, image_url, genres, author_name, model) { |
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BookCard(title = title, |
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avg_rating = average_rating, |
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genres = as.list(genres), |
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description = description, |
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author_name = author_name, |
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imageUrl = image_url, |
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url = url, |
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model = model |
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) |
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} |
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|
