The paper describes a broadly applicable method of designing multilingual semantics-syntactic analyzers of recommender systems. The user inputs may include the questions of many kinds formed with the help of interrogative words (or without interrogative words), verbs, nouns, attributes, prepositions, the designations of the digital values of various parameters. For the queries in English and German, the developed algorithm of semantic-syntactic analysis processes the questions of many kinds, the commands, and the statements from a restricted sublanguage of NL. For the queries in Russian, the algorithm is additionally able to process the requests with participle constructions and attributive clauses. As a semantic intermediary language, the algorithm uses the SK-language determined by the considered linguistic database. The class of SK-languages is introduced by the theory of K-representations (knowledge representations), its current version is mainly stated in a monograph of the author published by Springer in 2010. The developed algorithm is implemented by means of the programming language PYTHON.