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Cornell researchers have developed a fairer system for recommendations – from hotels to jobs to videos – so a few top hits don’t get all the exposure.
A central problem in ranking is to design a measure for evaluation of ranking functions. In this paper we study, from a theoretical perspective, the Normalized Discounted Cumulative Gain (NDCG) which ...
This paper explores z-ranking, a technique to rank error reports emitted by static program checking analysis tools. Such tools often use approximate analysis schemes, leading to false error reports. T...
Static program checking tools can find many serious bugs in software, but due to analysis limitations they also frequently emit false error reports. Such false positives can easily render the error ch...
The Line flow Contingency Selection and Ranking (CS & R) is performed to rank the critical contingencies in order of their severity. An Artificial Neural Network based method for MW security assessmen...
In this paper, we present a novel approach for news video story sentiment analysis. Two research challenges are addressed: news video story sentiment classification and ranking. For classification, a ...
Bag-of-visual Words (BoW) image representation is getting popular in computer vision and multimedia communities.However, experiments show that the traditional BoW representation is not as effective as...
There has been an increasing focus internationally on the quality and impact of research outputs in recent years. Several countries, including the United Kingdom and New Zealand have implemented schem...
In 2007 we published a paper describing the approach the Australian Council of Professors and Heads of Information Systems (APHIS) had used in developing a ranked list of information systems journals....
The continuous increasing number of patents worldwide makes the searching in these vast databases a real challenge. In the present paper we present a method, based on a computed rank that attempts to ...
Most of existing work on sports video analysis concentrates on highlight extraction. Few efforts devoted to the important issue as how to organize the extracted highlights which is adapt for the user ...
Most of existing work on sports video analysis concentrates on highlight extraction. Few efforts devoted to the important issue as how to organize the extracted highlights which is adapt for the...
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost. However, such a pair...
The majority of existing work on sports video analysis concentrates on highlight extraction. Little work focuses on the important issue as how the extracted highlights should be organized. In this pa...
In this paper, we propose a method to rank the highlights of broadcast racquet sports videos. Compared with previous work, we integrate relevance feedback into highlight ranking framework to effectiv...

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