How Comprende works, and how we checked it
Taste: the Qloo taste graph
Your favourites, from any domain, are looked up in Qloo and passed as signals to Qloo's Insights API. Qloo returns films and series originally released in Spanish-speaking countries that audiences with similar tastes enjoy, scores the titles we measured against the same signals, and reports which favourite drove each match. Titles are ranked by how much more they fit your taste than a typical one; between close matches, the better-known and more recent title (Qloo popularity, release year) goes first. Qloo describes what groups of people tend to like; it does not predict what one person will do.
Difficulty: words you know, in real dialogue
For each Spanish-original film or series with subtitles in the open OPUS OpenSubtitles corpus, we count the words in its dialogue and rank Spanish words by how many titles use them. If you know the 3,000 most common words, the share of a title's running words you know is its coverage for you. Proper names and interjections count as known.
Studies of reading and listening put adequate comprehension at about 95% coverage and comfortable, unassisted comprehension near 98% (Hu & Nation 2000; Nation 2006). Comprende uses 95% for “watch now” and 90–95% for “a good stretch”.
Your vocabulary comes from a yes/no word check: 48 real words from six frequency bands and 16 made-up words. Saying yes to made-up words lowers the estimate, the standard correction for guessing (Meara & Buxton 1987). Words spelled almost the same in English or French (cognates such as “perfecto” or “fotografía”) are left out of the check, because they can be recognised without knowing Spanish.
Does the difficulty measure behave as research predicts?
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Compared with asking a language model
The same 20 fixed taste profiles (three favourites and a vocabulary size each) went to three systems: a language model on its own; Comprende without Qloo, ranking by general popularity instead of taste; and Comprende. Every title was checked against Wikidata and against our measured dialogue.
“Not verified automatically” means no Wikidata film or series matched the exact title. Several of these are real titles, so this is not a count of invented ones. Without Qloo, learners at the same level get almost the same list; with Qloo each list is personal. Comprende's later picks include labelled “stretch” titles on purpose, so the first five picks are the like-for-like comparison of level fit.
Data: Qloo Insights API; Wikidata (CC0); OPUS OpenSubtitles v2024 (Lison & Tiedemann 2016), from opensubtitles.org. Only word counts derived from subtitles are stored.