WWW
2009
ACM
15 years 6 days ago
2009
ACM
In this poster, a tool named BUCEFALO is presented. This tool is specially designed to improve the information retrieval tasks in web-based Personal Health Records (PHR). This too...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
In this paper we consider the problem of re-ranking search results by incorporating user feedback. We present a graph theoretic measure for discriminating irrelevant results from ...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
Several attempts have been made to analyze customer behavior on online E-commerce sites. Some studies particularly emphasize the social networks of customers. Users' reviews ...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
JavaScript is an interpreted programming language most often used for enhancing webpage interactivity and functionality. It has powerful capabilities to interact with webpage docu...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
In this paper, we study how the performance and usability of web dialogue systems could be enhanced by using an appropriate representation of the different types of knowledge invo...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
This paper formulates a collaborative system for modeling business application. The system uses a Semantic Wiki to enable collaboration between the various stakeholders involved i...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
In this work, a novel mobile browser for geo-referenced pictures is introduced and described. We use the term browser to denote a system aimed at browsing pictures selected from a...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question ...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
The performance of server-side applications is becoming increasingly important as more applications exploit the Web application model. Extensive work has been done to improve the ...
WWW
2009
ACM
15 years 6 days ago
2009
ACM
In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...