The large number of Web pages on many Web sites has raised\ud navigational problems. Markov chains have recently been used to model user navigational behavior on the World Wide Web (WWW). In this paper, we propose a method for constructing a Markov model of a Web site based on past\ud visitor behavior. We use the Markov model to make link predictions that assist new users to navigate the Web site. An algorithm for transition probability\ud matrix compression has been used to cluster Web pages with similar transition behaviors and compress the transition matrix to an optimal size for efficient probability calculation in link prediction. A maximal forward path method is used to further improve the efficiency of link prediction. Link prediction has been implemented in an online system called ONE (Online Navigation Explorer) to assist users' navigation in the adaptive Web site.
Recent scholarship has tended to focus on the perceived inadequacies of recording to represent live jazz performance. Nevertheless, recordings are dominant in the dissemination of jazz and as such demand our critical attention to understand the social potential of jazz in the twenty-first century. This chapter examines the ability of recordings to influence perceptions of jazz when evaluated in different ways: firstly, retrospectively, for example when writing jazz history; secondly, historically, within their original context (that is at the time at which they were first disseminated); and thirdly, in their present context, when they are encountered by new audiences. In this chapter, these three particular temporal perspectives of listeners are explored in relation to recordings chosen deliberately for their quantifiable status in the jazz canon: ‘Livery Stable Blues’ (1917) recorded by the Original Dixieland Jazz Band from New Orleans is widely cited as the first jazz recording; Miles Davis’s album Kind of Blue (1959) is understood as the best selling and most popular jazz recording of all time.
Publication . Part of book or chapter of book . 2016
Part 12: Workshops; International audience; The manipulation of information and the dissemination of “fake news” are practices that trace back to the early records of human history. Significant changes in the technological environment enabling ubiquity, immediacy and considerable anonymity, have facilitated the spreading of misinformation in unforeseen ways, raising concerns around people’s (mis)perception of social issues worldwide. As a wicked problem, limiting the harm caused by misinformation goes beyond technical solutions, requiring also regulatory and behavioural changes. This workshop proposes to unpack the challenge at hand by bringing together diverse perspectives to the problem. Based on participatory design principles, it will challenge participants to critically reflect the limits of existing socio-technical approaches and co-create scenarios in which digital platforms support misinformation resilience.
The growth and range of material produced by the Welsh-language children’s book industry\ud over the past 100 years can be viewed as a barometer of national confidence in the face of\ud rapid social, cultural and linguistic change. In 1911, when census returns recorded that 43.5%\ud of the population were able to speak Welsh, 25 books were published for children (Cyngor\ud Llyfrau Cymru 1997: 15–18). A century later in 2011, the percentage of Welsh speakers is\ud estimated to be only 20% of the population; yet 21 books for children were published during\ud January alone. With the overall total of Welsh-language children’s books in print standing at\ud nearly 3,000 and significant investment seen in publishing and promotion (including\ud national book clubs, the annual Tir na n-Og prizes for children’s literature, and funding for a\ud children’s Welsh Poet Laureate), the children’s book industry in Wales is currently enjoying\ud a sustained period of growth and vitality unparalleled in any other area of the Welsh book\ud industry.
Publication . Part of book or chapter of book . Book . 2011
Project: UKRI | Automatic Adaptation of K... (EP/F035357/1), UKRI | Automatic Adaptation of K... (EP/F035357/1)
User evaluations of search engines are expensive and not easy to replicate. The problem is even more pronounced when assessing adaptive search systems, for example system-generated query modification suggestions that can be derived from past user interactions with a search engine. Automatically predicting the performance of different modification suggestion models before getting the users involved is therefore highly desirable. AutoEval is an evaluation methodology that assesses the quality of query modifications generated by a model using the query logs of past user interactions with the system. We present experimental results of applying this methodology to different adaptive algorithms which suggest that the predicted quality of different algorithms is in line with user assessments. This makes AutoEval a suitable evaluation framework for adaptive interactive search engines.
In this chapter we explore the future for innovation in two related, but distinct, sectors. We consider the linkages between medical technology(MedTech) and agricultural technology (Agri-Tech) innovation in the UK. We ask and discuss questions: Who are the key actors in the innovation systems of Medtech and Agri-Tech in the UK? What are the core technologies driving the current waves of innovation in these two sectors? Can one industry learn from the other? Where is the scope for cooperation and synergies? We notice that both sectors are technologically linked through foundational technologies underpinning the majority of the observed innovation e.g. big data, AI, IoT and robotics. The outputs of these technologies rely crucially on digital data for insight and decision support. However, Agri-Tech benefits from less complex stakeholder issues regarding data security and privacy. Both sectors are important to the UK going forwards, and both will be exposed to Brexit and the consequences of the COVID pandemic. Our discussion on the future of innovation should be of particular interest to start-up leaders, entrepreneurs, investors, managers and policy-makers in MedTech, Agri-Tech and cognate sectors.
In this paper, the possibility of developing a Heideggerian solution to the Schizophrenia Problem associated with cognitive technologies is investigated. This problem arises as a result of the computer bracketing emotion from cognition during human-computer interaction and results in human psychic self-amputation. It is argued that in order to solve the Schizophrenia Problem, it is necessary to first solve the 'hard problem' of consciousness since emotion is at least partially experiential. Heidegger's thought, particularly as interpreted by Hubert Dreyfus, appears relevant in this regard since it ostensibly provides the basis for solving the 'hard problem' via the construction of artificial systems capable of the emergent generation of conscious experience. However, it will be shown that Heidegger’s commitment to a non-experiential conception of nature renders this whole approach problematic, thereby necessitating consideration of alternative, post-Heideggerian approaches to solving the Schizophrenia Problem.