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While much research has been performed on query logs collected for major Web search engines, query log analysis to enhance search on smaller and more focused collections has attracted less attention. Our hypothesis is that an intranet search engine can be enhanced by adapting the search system to real users' search behaviour through exploiting its query logs. In this work we describe how a constantly...
Pervasive computing will fundamentally change the way people interact with computers. By observing our actions on an unprecedented scale, the technology will enable new services and applications without the need for direct interaction from the user. However, research has shown that excessive levels of monitoring/data collection can cause undesirable effects on users. Researchers have begun to study...
This paper investigates the behavior of users judging the similarity of documents from the viewpoint of user feedback cost, in particular judgment time and accuracy. An experiment is conducted, in which 21 test participants were asked to judge the similarity of documents. As the clue for the judgment, 3 types of information: original text, snippet, and term, are mutually provided. The judgment accuracy...
Effectively guiding people in complex and highly dynamic work environment requires advances in high-level declarative activity models that can describe the flow of human work activities and their intended outcomes, as well as novel user interface models for distributing guidance information across time and space. This paper describes a new line of research aimed at developing a new programming and...
The digital age has brought about new platforms for collaboration which have provided interesting and effective ways of enabling people to engage in a wide variety of socially-driven activities. One only needs to observe the many free/libre open source software projects on the web, where millions of connected individuals actively participate in the development and deployment of a wide range of software...
To improve web search effectiveness and help personalized search applications, it is important to understand users' search process, especially the underlying information goal transitions and satisfaction judgment on result pages. Unlike previous work modeling the two types of hidden information separately, the paper proposes to simultaneously model them based on users' full search process, including...
There has been virtually little in the way of user interfaces designed for the exploration and information gathering from large weblog datasets to allow for an integrated and aggregated knowledge collection and information analysis tool. Users have to rely on their own capability to find, select or filter entries and navigate through a blog archive. For weblogs with a large collection of entries this...
Web log analysis can be helpful in gaining information about the usability of the web site, web performance, for marketing purposes, or for development of business intelligence tools in e-commerce systems. User segmentation is one of the problems solved in marketing and e-commerce sphere. Various software was developed to support web analysis. However, most of them provide only information through...
We argue that it is more practical to address the ontology mapping self-tuning problem in a whole system context instead of in a single matcher context. In this paper we introduce RMOMS, a Reference Model for Ontology Mapping Systems, consisting of six parts, the Preprocessor, the Dispatcher, the Matcher(s), the Aggregator, the Pruner, and the User Interface, with which to disassemble the self-tuning...
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