Extracting advertising keywords from web-pages is important in keyword-based online advertising. Previous works have attempted to extract advertising keywords from the whole content of a web-page. However, in some scenarios, it is necessary to extract keywords from just the URL string itself. In this work, we propose an algorithm for extracting advertising keywords from the URL string alone. Our algorithm has applications in contextual and paid search advertising. We evaluate the effectiveness of our algorithm on publisher URLs and show that it produces very good quality keywords that are comparable with keywords produced by page based extractors.

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While users often revisit pages on the Web, tool support for such re-visitation is still lacking. Current tools (such as browser histories) only provide users with basic information such as the date of the last visit and title of the page visited. In this paper, we describe a system that provides users with descriptive topic-phrases that aid re-finding. Unlike prior work, our system considers both the content of a webpage and the context in which the page was visited. Preliminary evaluation of this system suggests users find this approach of combining content with context useful.