近年來由於行動通訊技術的進步，使用智慧型手機等隨身裝置上網也變得越來越普及。一份Google的研究報告指出，，2010年行動搜尋 (mobile search) 的流量相較於2008年時增加了五倍，由此可得知使用者對於行動搜尋的需求日益增加。但是與一般桌上型電腦相比，行動裝置既有的特質會導致使用者進行行動搜尋時感到不便，亦即：第一，行動裝置的顯示螢幕相對狹小，這會導致使用者閱讀上較吃力。第二，行動裝置的輸入方式也較為不便。由以上幾點，如何幫助使用者增進行動搜尋的效率便是一項重要的議題。此外，近年來有許多新興研究皆有將社交互動因素融入行動搜尋，所以此趨勢亦是我們想要跟進的重點。對瀏覽歷程進行資料探勘可以瞭解使用者的個人喜好、生活習慣等；而在地資訊亦提供了使用者的時間與地點等資訊。為了幫助使用者，當使用者進行行動搜尋時，我們利用使用者的瀏覽歷程與其在地資訊來重新推薦結果網頁，讓使用者進行行動搜尋更加便利及有效率。而在結果網頁中，我們亦會自動搜尋並列出附近的朋友給予使用者，我們相信此舉對於使用者經驗亦有正面的影響。

Nowadays more and more people access the Internet with their accompanying mobile devices. Performing web search activities anytime and anywhere thus becomes common. As compared to the ones sitting in front of their PCs, mobile users often search for something which is closely relevant to his or her current context, e.g., location and time, or of specific requirements. We define this kind of web searches as the on-demand search in this work. In view of the possible difficulties encountered in practice, we propose to introduce both browsing history and localized information when handling on-demand searches of a mobile user. Consequently, user demands can be better understood so that more personalized results can be integrated, delivered and visualized. On the other hand, features of social interaction are also addressed. For example, nearby friends could be informed and invited to join activities of common interests. Better user experience can thus be achieved among members of a mobile community.

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