Discovering user access pattern based on probabilistic latent factor model

There has been an increased demand for characterizing user access patterns using web mining techniques since the informative knowledge extracted from web server log files can not only offer benefits for web site structure improvement but also for better understanding of user navigational behavior. In this paper, we present a web usage mining method, which utilize web user usage and page linkage information to capture user access pattern based on Probabilistic Latent Semantic Analysis (PLSA) model. A specific probabilistic model analysis algorithm, EM algorithm, is applied to the integrated usage data to infer the latent semantic factors as well as generate user session clusters for revealing user access patterns. Experiments have been conducted on real world data set to validate the effectiveness of the proposed approach. The results have shown that the presented method is capable of characterizing the latent semantic factors and generating user profile in terms of weighted page vectors, which may reflect the common access interest exhibited by users among same session cluster.

Access to technological and financial resources for SME innovation

Editorial: The contributions to this special issue of the International Journal of Technology Management are all based on selected papers presented at the European Conference on Management of Technology held at Aston University, Birmingham, UK in June 1995. This conference was held on behalf of the International Association for Management of Technology (IAMOT) and was the first of the association’s major conferences to be held outside North America. The overall theme of the conference was ‘Technological Innovation and Global Challenges’. Altogether more than 130 papers were presented within four sub-themes and twenty seven topic sessions. This special issue draws on papers within five difference topic sessions: ‘Small firm linkages’; ‘The global company’; ‘New technology based firms’; ‘Financing innovation’; ‘Technology and development’. Together they cover a wide range of issues around the common question of accessing resources for innovation in small and medium sized enterprises. They present a global perspective on this important subject with authors from The Netherlands, Canada, USA, Ireland, France, Finland, Brazil and UK. A wide range of subjects are covered including the move away from public support for innovation, the role of alliances and networks, linkages to larger enterprises and the social implications associated with small enterprise innovation in developing countries.

The academic conference evolves: the fMRI experience

The fMRI Experience began as a postgraduate organised conference, to enable novice access to expertise in a developing and technically complex area, and for mutual support. This article investigates the seventh annual iteration of this emergent conference and evaluates its educational value. Key features are free attendance supported by sponsorship, a clear focus on student needs and a strong social programme and participation ethos to facilitate interaction. Predominantly qualitative data suggests that the event is of value to postgraduate participants and is also successful in attracting the participation of internationally leading researchers. The implications and value of the event for postgraduate education and for developing new fields of enquiry are discussed.