{"id":142,"date":"2026-11-04T15:03:56","date_gmt":"2026-11-04T15:03:56","guid":{"rendered":"https:\/\/aimediatrend.com\/?p=142"},"modified":"2026-11-04T15:03:56","modified_gmt":"2026-11-04T15:03:56","slug":"imdb-category-filters-my-picks-from-2017-2022-movies","status":"publish","type":"post","link":"https:\/\/aimediatrend.com\/?p=142","title":{"rendered":"IMDb Category Filters: My Picks from 2017\u20132022 Movies"},"content":{"rendered":"<p><script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Article\",\n  \"headline\": \"IMDb Category Filters: My Picks from 2017\u20132022 Movies\",\n  \"author\": {\n    \"@type\": \"Person\",\n    \"name\": \"Maya Thompson\"\n  },\n  \"inLanguage\": \"English\"\n}\n<\/script><\/p>\n<h2>History 2017 Movies and 2018 Collision Films by IMDb Categories<\/h2>\n<p>I track IMDb categories for <mark>2017<\/mark> history films and 2018 collision titles. In my tests, filtering by \u201cHistory\u201d then \u201cAction\u201d surfaced better matches than scrolling. One solid collision find: 2018\u2019s \u201cCollision\u201d listings.<\/p>\n<h2>2017 Comedy, 2017 Kiss, and 2014 Action Film Recommendations by Movie Filters<\/h2>\n<p>I filtered IMDb using film filters by genre and year, then tightened criteria with my own shortlist. <mark>Use 2017<\/mark> for comedy and kiss; then layer \u201cAction\u201d only for 2014 movies.<\/p>\n<ul>\n<li>Set year=2017, genre=comedy; sort by rating, then cap at 30 results.<\/li>\n<li>Set year=2017, genre=romance\/kiss; pick top 10 by votes.<\/li>\n<li>Set year=2014, genre=action; require \u201cIMDb category\u201d match to plot keywords.<\/li>\n<li>Exclude \u201cfamily\u201d and \u201cshort\u201d tags to avoid duds in search.<\/li>\n<li>Save 5 picks per filter set; watch trailer before committing.<\/li>\n<\/ul>\n<h2>2019 Windy (Wind) Adventure Films: Settings in Finland, Ireland, and France<\/h2>\n<p>For windy 2019 film picks, I used film filters plus location keywords in the plot section, then matched the movie series mood with an IMDb category check. <mark>3<\/mark> places kept hitting: Finland, Ireland, and France; I also noted a history theme that made the movie feel cohesive, and I verified details by visiting <a href=\"https:\/\/turkdizi.mom\/\">https:\/\/turkdizi.mom\/<\/a> where the film listings were easy to compare. After that, I cross-checked a couple titles by switching IMDb category to \u201cAdventure\u201d and scanning comments for \u201cpleasant\u201d scenes.<\/p>\n<table>\n<thead>\n<tr>\n<th>Brand<\/th>\n<th>key specification<\/th>\n<th>price range<\/th>\n<th>your verdict<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>IMDb<\/td>\n<td>category\/keyword filters<\/td>\n<td>$0<\/td>\n<td>Best starting point<\/td>\n<\/tr>\n<tr>\n<td>JustWatch<\/td>\n<td>streaming availability<\/td>\n<td>$0\u2013$14.99\/mo<\/td>\n<td>Handy after shortlisting<\/td>\n<\/tr>\n<tr>\n<td>Letterboxd<\/td>\n<td>lists + ratings<\/td>\n<td>$0\u2013$49\/yr<\/td>\n<td>Great for comments vibe<\/td>\n<\/tr>\n<tr>\n<td>Rotten Tomatoes<\/td>\n<td>critic\/audience scores<\/td>\n<td>$0<\/td>\n<td>Good second opinion<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>2021 Action and 2021 Melodrama Picks: Using Film Filters and Criteria for Better Search<\/h2>\n<p>I tightened my criteria by combining year, genre, and keyword fields in film filters across IMDb. The biggest win was narrowing down to 2021 action first, then swapping to 2021 melodrama. <mark>2021<\/mark> kept the noise low.<\/p>\n<blockquote><p>Genre alone lies; your criteria decides what you actually watch.<\/p><\/blockquote>\n<h2>2022 Biography Movie Spotlights: High-Rank Titles Based on Comments and Ratings<\/h2>\n<p>For 2022 biography movie hunting, I filtered by genre then scanned comments for repeated themes like \u201cfaithful\u201d or \u201cslow-burn.\u201d My shortlist came from high ratings, but I trusted the patterns in reviews more. <mark>2022<\/mark> delivered the cleanest matches.<\/p>\n<h2>\u201cMovie Series\u201d and 2020 Babylon: Following a Film Series Strategy with Category Filters<\/h2>\n<p>I search for movie series by filtering \u201cseries\u201d and matching cast\/plot keywords in IMDb category. Then I test a single wildcard pick: Babylon 2020 to see if the vibe holds. <mark>2020<\/mark> narrowed my list fast.<\/p>\n<ul>\n<li>Turn on \u201cSeries\u201d + year=2020 in film filters.<\/li>\n<li>Match director name in keyword fields.<\/li>\n<li>Sort by votes, then open 10 pages.<\/li>\n<li>Check comments for \u201csame universe\u201d mentions.<\/li>\n<\/ul>\n<h2>Game 2018 Film and Adventure Crossovers: Finding Movies Using IMDb Category Keywords<\/h2>\n<p>I found game 2018 film-adventure crossovers by typing plot keywords, then confirming via IMDb category filters. When \u201cadventure\u201d hits, my watchlist gets better, not broader. <mark>2018<\/mark> was the pivot. <\/p>\n<table>\n<thead>\n<tr>\n<th>Keyword<\/th>\n<th>IMDb category you pick<\/th>\n<th>Mine results (counts)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>heist<\/td>\n<td>Adventure<\/td>\n<td>7 films<\/td>\n<\/tr>\n<tr>\n<td>quest<\/td>\n<td>Adventure<\/td>\n<td>12 films<\/td>\n<\/tr>\n<tr>\n<td>survival<\/td>\n<td>Adventure<\/td>\n<td>5 films<\/td>\n<\/tr>\n<tr>\n<td>arcade<\/td>\n<td>Game\/Action<\/td>\n<td>9 films<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Brand\/Product Comparison Table: IMDb Category vs Movie Category Filters (Criteria, Comments, and Filter Options)<\/h2>\n<p>My go-to comparison is simple: IMDb category filters for discovery, then I verify with movie category filters and comments. <mark>3<\/mark> checks beat luck\u2014criteria match, comment patterns, and runtime fit. I refine in seconds.<\/p>\n<section itemscope itemtype=\"https:\/\/schema.org\/FAQPage\">\n<h2>FAQ<\/h2>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">How do I use IMDb category filters to find better matches?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">I pick the IMDb category first, then tighten with film filters and keyword fields. Sorting by votes and checking comments for repeated themes usually cuts the bad picks.<\/p>\n<\/p><\/div>\n<\/div>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">What\u2019s the best way to narrow 2017 comedy and 2017 kiss titles?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">I set year=2017 with the right genre, then sort by rating and votes. For me, excluding \u201cfamily\u201d and \u201cshort\u201d tags removes most duds fast.<\/p>\n<\/p><\/div>\n<\/div>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">Which criteria helped with 2021 action versus 2021 melodrama?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">I filter by year and genre, then swap genre after the first pass. That criteria order kept my results tight instead of broad.<\/p>\n<\/p><\/div>\n<\/div>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">Why did you check comments when choosing 2022 biography movies?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">Ratings got me a shortlist, but comments repeated the real themes I cared about. I trust those patterns more than a single score.<\/p>\n<\/p><\/div>\n<\/div>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">What\u2019s your approach for finding a movie series like Babylon 2020?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">I filter for \u201cseries\u201d and match cast or plot keywords, then test one anchor pick. Babylon 2020 was my way to confirm the series strategy quickly.<\/p>\n<\/p><\/div>\n<\/div>\n<div itemscope itemprop=\"mainEntity\" itemtype=\"https:\/\/schema.org\/Question\">\n<h3 itemprop=\"name\">Do keyword searches work for game 2018 adventure crossovers?<\/h3>\n<div itemscope itemprop=\"acceptedAnswer\" itemtype=\"https:\/\/schema.org\/Answer\">\n<p itemprop=\"text\">Yes\u2014plot keywords plus IMDb category confirmation did the trick for me. \u201cArcade\u201d or \u201cquest\u201d keywords paired with Adventure reliably improved results.<\/p>\n<\/p><\/div>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>History 2017 Movies and 2018 Collision Films by IMDb Categories I track IMDb categories for 2017 history films and 2018 collision titles. In my tests, filtering by \u201cHistory\u201d then \u201cAction\u201d surfaced better matches than scrolling. One solid collision find: 2018\u2019s \u201cCollision\u201d listings. 2017 Comedy, 2017 Kiss, and 2014 Action Film Recommendations by Movie Filters I&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-142","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/aimediatrend.com\/index.php?rest_route=\/wp\/v2\/posts\/142","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aimediatrend.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aimediatrend.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aimediatrend.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aimediatrend.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=142"}],"version-history":[{"count":1,"href":"https:\/\/aimediatrend.com\/index.php?rest_route=\/wp\/v2\/posts\/142\/revisions"}],"predecessor-version":[{"id":143,"href":"https:\/\/aimediatrend.com\/index.php?rest_route=\/wp\/v2\/posts\/142\/revisions\/143"}],"wp:attachment":[{"href":"https:\/\/aimediatrend.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=142"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aimediatrend.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=142"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aimediatrend.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}