In this paper, we propose to query XML documents with a quality-based recommendation of the results. The document quality is modeled as a set of (criterion, value) pairs collected in metadata sets, and are associated with the indexed XML documents. We implemented four basic operations to achieve quality recommendation: 1) annotation with metadata describing the documents quality, 2) indexing the documents, 3) matching queries and quality requirements , and 4) viewing the recommended parts of the documents. The quality requirements of each user are kept as individual quality profiles (called XPS files). Every XML document in the document database refers to a quality style sheets (called XQS files) which allow the specification of several matching strategies with rules that associate parts (sub-trees) of XML documents to user profile quality requirements. An algorithm is described for evaluation of the quality style sheets and user profiles in order to build an "adaptive quality view" of the retrieved XML document. The paper describes the general architecture of our quality-based recommender system for XML documents.