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Searching online information resources using mobile devices is affected by small screens which can display only a fraction
of ranked search results. In this paper we investigate whether the search effort can be reduced by means of a simple user
feedback: for a screenful of search results the user is encouraged to indicate a single most relevant document. In our approach
we exploit the fact that, for small display sizes and limited user actions, we can construct a user decision tree representing
all possible outcomes of the user interaction with the system. Examining the trees we can compute an upper limit on relevance
feedback performance. In this study we consider three standard feedback algorithms: Rocchio, Robertson/Sparck-Jones (RSJ)
and a Bayesian algorithm. We evaluate them in conjunction with two strategies for presenting search results: a document ranking
that attempts to maximize information gain from the user’s choices and the top-D ranked documents. Experimental results indicate
that for RSJ feedback which involves an explicit feature selection policy, the greedy top-D display is more appropriate. For
the other two algorithms, the exploratory display that maximizes information gain produces better results. We conducted a
user study to compare the performance of the relevance feedback methods with real users and compare the results with the findings
from the tree analysis. This comparison between the simulations and real user behaviour indicates that the Bayesian algorithm,
coupled with the sampled display, is the most effective.
Extended version of “Evaluating Relevance Feedback Algorithms for Searching on Small Displays, ” Vishwa Vinay, Ingemar J.
Cox, Natasa Milic-Frayling, Ken Wood published in the proceedings of ECIR 2005, David E. Losada, Juan M. Fernández-Luna (Eds.),
Springer 2005, ISBN 3-540-25295-9 相似文献
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Sara Bushong Susannah Cleveland Christopher Cox 《The Journal of Academic Librarianship》2018,44(2):313-318
Crowdfunding – or creatively presenting a case for funding to like-minded individuals – is becoming an effective development strategy for academic libraries. The crowdfunding projects described offer multiple approaches to consider, from an adventure-themed video to embracing polka music to entice donors to give. Social media, used in conjunction with the web and well-established email communication formed the basis of successful project promotion. Developing a robust communication plan ahead of campaign launch is critical for success. Thanking donors for their transformational gifts and follow up communication describing the impact of their participation six months later raises friends for the library potentially for many years to come. With proper planning, an active and enthusiastic committee and effective donor stewardship, crowdfunding campaigns will help libraries raise funds to support strategic initiatives. 相似文献
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Recent Government policy in England and Wales on Information and Communication Technology (ICT) in schools is heavily influenced by a series of non‐randomised controlled studies. The evidence from these evaluations is equivocal with respect to the effect of ICT on literacy. In order to ascertain whether there is any effect of ICT on one small area of literacy, spelling, a systematic review of all randomised controlled trials (RCTs) was undertaken. Relevant electronic databases (including BEI, ERIC, Web of Science, PsycINFO, The Cochrane Library) were searched. Seven relevant RCTs were identified and included in the review. When six of the seven studies were pooled in a meta‐analysis there was an effect, not statistically significant, in favour of computer interventions (Effect size = 0.37, 95% confidence interval =–0.02 to 0.77, p = 0.06). Sensitivity and sub‐group analyses of the results did not materially alter findings. This review suggests that the teaching of spelling by using computer software may be as effective as conventional teaching of spelling, although the possibility of computer‐taught spelling being inferior or superior cannot be confidently excluded due to the relatively small sample sizes of the identified studies. Ideally, large pragmatic randomised controlled trials need to be undertaken. 相似文献