Abstract: There is disclosed a system and a method for training an MLA to predict a visibility score indicative of a likelihood of a targeted message included within a web resource, the method being executable on a server, the method comprising: generating a training dataset by retrieving a plurality of training targeted messages, the training web resource having a plurality of targeted message slots for placing therein one or more training targeted messages; causing, the training electronic device to display the training web resource; upon the training user accessing the training web resource using the training electronic device during a subsequent instance of time, causing the training electronic device to display the web resource; tracking an activity parameter, the activity parameter being indicative of an interaction by the training user with the given one of the plurality of training targeted messages; generating the training dataset.

Abstract: A method and a system for generating a plurality of annotation vectors for a document, the plurality of annotation vectors to be used as features by a first machine-learning algorithm (MLA) for information retrieval, the method executable by a second MLA on a server, the method comprising: retrieving the document, the document having been indexed by a search engine server, retrieving a plurality of queries having been used to discover the document, retrieving a plurality of user interaction parameters for each one of the plurality of queries, generating the plurality of annotation vectors, each annotation vector being associated with a respective query of the plurality of queries, each annotation vector of the plurality of annotation vectors including an indication of: the respective query, a plurality of query features, the plurality of query features being at least indicative of linguistic features, and the plurality of user interaction parameters.