  Creating alternative queries, also known as query suggestion, has been proved
to be helpful on improving users' search experience. Owing to the suggestions,
users could retrieve their information need more quickly and accurately. In
many scenarios, these suggestions could be generated from the click-through
logs by establishing a bipartite graph of the clicked query-document pairs.
Most of the existing methods focused on click-existing queries which possess
clicked information in the search logs, to suggest related queries using the
co-clicked documents. In this paper, we propose a simple yet effective query
suggestion method particularly for click-absent queries by ensuring semantic
consistency without utilising any additional resources. Our experimental
results show that the proposed technique generates comparatively good
suggestions for click-absent queries on a real bilingual enterprise search log.
