Abstract: Method, computer program and apparatus are disclosed in which search phrases are arranged multi-dimensionally in a relevance map pointing which the user can define weights of the search phrases. Documents are correspondingly ranked based on the weights and a result list is formed and presented accordingly.

Abstract: Explorative searching method, apparatus and computer programs are presented. A first explorative search is run in a first branch. A first group of entities relating to the first explorative search is presented to a user. A second explorative search is run in a second branch in parallel with the first branch. A second group of entities relating to the second explorative search is presented to the user simultaneously with the presenting of the first group of entities. The user is allowed to import one or more entities of either one of the first and second explorative searches to the remaining one of the first and second explorative searches and updating said remaining explorative search.

Abstract: This disclosure relates to methods and apparatus for generating criteria for information retrieval tasks. A quantifying unit is trained through machine learning to assign relevance values to functional brain imaging potentials measured from a person. This quantifying unit is then used when the person performs an information retrieval task by reading a primary document. The quantifying unit assigns relevance values to text items viewed by the person in the primary document. Based on these relevance values a criterion is generated for the information retrieval task, and potentially relevant secondary documents are retrieved from a document database based on whether or not, or to what extent, they meet this criterion.