Precision-oriented search results such as those typically returned by the major search engines are vulnerable to issues of polysemy. When the same term refers to different things, the dominant sense is preferred in the rankings of search results. In this paper, we propose a novel technique in the context of web search that utilizes contextual terms provided by users for query disambiguation, making it possible to prefer other senses without altering the original query.