We propose to integrate various pieces of information about a web page (search queries, social annotations, terms extracted from the pagetext) into a navigational menu. This menu displays an auxiliary set of tags (navigational tags) selected with the goal of helping user navigation. We propose a novel framework (navigational utility) for comparing different tag selection methods. We also investigate which source of tags is more suitable for our scenario and we conclude that tags extracted from search queries (query tags) are more appropriate.

This paper provides an empirical characterization of user actions at the web browser. The study is based on an analysis of 4 months of logged client-side data that describes user actions with recent versions of Netscape Navigator. In particular, the logged data allow us to determine the title, URL and time of each page visit, how often they visited each page, how long they spent at each page, the growth and content of bookmark collections, as well as a variety of other aspects of user interaction with the web. The results update and extend prior empirical characterizations of web use. Among the results we show that web page revisitation is a much more prevalent activity than previously reported (approximately 81% of pages have been previously visited by the user), that most pages are visited for a surprisingly short period of time, that users maintain large (and possibly overwhelming) bookmark collections, and that there is a marked lack of commonality in the pages visited by different users. These results have implications for a wide range of web-based tools including the interface features provided by web browsers, the design of caching proxy servers, and the design of efficient web sites.

Most Web browsers include Back, History and Bookmark facilities that simplify how people return to previously seen pages. While useful, these three facilities all operate on quite different underlying models, which undermines their usability. Our alternative revisitation system uses a single model of a recency-ordered history list to integrate Back, History and Bookmarks. Enhancements include: Back as a way to step through this list; implicit and explicit 'dog-ears' to mark pages on the list (replacing Bookmarks); searching/filtering the list through dynamic queries; and visual thumbnails to promote page recognition.

We extend the notion of bookmark management by introducing the functionali- ties of hypermedia databases. PowerBookmarks is a Web information organization, sharing, and management tool, which parses metadata from bookmarked URLs and uses it to index and classify the URLs. PowerBookmarks supports advanced query, classification, and navigation functionalities on collections of bookmarks. Power- Bookmarks monitors and utilizes users' access patterns to provide many useful per- sonalized services, such as automated URL bookmarking, document refreshing, and bookmark expiration. It also allows users to specify their preference in bookmark management, such as ranking schemes and classification tree structures. Subscrip- tion services for new or updated documents of users' interests are also supported.

This paper describes a management tool to support revisiting WWW pages, which we call “WWW Dynamic Bookmark (WDB).�? WDB watches and archives a user’s navigation behavior, analyses the archive, and shows analyzed results as clues for revisiting URLs. We have integrated link analysis and user behavior analysis to evaluate WWW page importance. WDB presents a list of sites that a user has visited, in importance order, via a landmark list in each site, and showing relationships among sites. Experimental implementation shows that importance calculation and structure displays help users to pick up useful URLs.