The growth of internet in recent years results in an explosion of
free multimedia content. Being a free platform for information
sourcing, it is not surprising to see more and more users surfing or
“googling” places of interest online to obtain extra information
before even visiting them. Besides the usual official websites
depicting information on these places of interest, there is also a
huge amount of traveler’s blogs, sightseeing photos and videos
posted from end-users. Often, users waste much of the time trying
to search for the information he needs rather than the reading
through the information. Most information presented to the user is
at website basis, which means users have to scrutinize through the
chunks of details to obtain what they really wants as different
users might be looking for different content. The challenge is to
provide a personalized multimedia tourism information retrieval
by analyzing the user query and providing most relevant materials
which are most interesting