We make use of search logs provided by the Belga News Agency to recommend images downloaded by previous users to new users. Each search session in the logs consists of a session ID number, the ID of the images which were downloaded at the conclusion of that session, and the various search terms which were input leading up to the selection and downloading of those images. In our approach, we match the queries of future users against the search terms in each session of the logs, and return the images selected in the best matching search sessions. In this way images considered relevant by previous users are recommended to future users with similar queries. An evaluation using P@50 for ten common queries produced encouraging results. This work describes a variation on the traditional Information Retrieval paradigm, where instead of text documents or images being indexed according to their content, they are indexed according to the search terms previous users have used in finding them.