In this paper, we present a methodology for finding authoritative researchers by analyzing academic Web sites. We show a case study in which we concentrate on a set of Czech computer science departments’ Web sites. We analyze the relations between them via hyperlinks and find the most important ones using several common ranking algorithms. We then examine the contents of the research papers pre...

The User-over-Ranking hypothesis states that rather the user herself than a web search engine’s ranking algorithm can help to improve retrieval performance. The means are longer queries that provide additional keywords. Readers who take this hypothesis for granted should recall the fact that virtually no user and none of the search index providers consider its implications. For readers who feel...

This paper presents a keyword spotting method based on searching a syllable lattice structure. The Mandarin syllables are represented in initial-final models. By one-stage dynamic programming, an utterance is converted into a sequence of topN-candidate syllables. It comes out a syllable lattice structure for this input utterance. A vocabulary of predefined keywords is represented as a set of sy...

 Recently, Khodabakhshi and Aryavash have introduced a ranking method [Applied Mathematics Letters, 25 (2012) 2066-2070.], which is based on an optimistic-pessimistic approach of data envelopment analysis (DEA). This method ranks all decision making units according to a combination of their minimum and maximum possible efficiency scores which are determined by solving two linear programming mo...

In this paper we describe our effort on 2016 Contextual Suggestion Track. We present a new ranking model that captures both global trend of interests as well as contextual individual preference. We trained a regressor on common users data thus it can prioritize popular places and categories. In order to model individual user preference, we introduce word embeddings to represent both user profil...

Multi-label classification has attracted a great deal of attention in recent years. This paper presents an approach exploits a ranking model to learn which neighbor’s labels are more trustable candidates for a weighted KNN-based strategy, and then assigns higher weights to those candidates when making weighted-voting decisions. Our experiment results demonstrate that the proposed method outperf...

This paper is meant to analyze the ranking of University of Malaysia Terengganu, UMT’s website in the World Wide Web. There are only few researches have been done on comparing the ranking of universities’ websites so this research will be able to determine whether the existing UMT’s website is serving its purpose which is to introduce UMT to the world. The ranking is based on hub and authority ...

Ranking of fuzzy numbers play an important role in decision making, optimization, forecasting etc. Fuzzy numbers must be ranked before an action is taken by a decision maker. In this paper, with the help of several counter examples it is proved that ranking method proposed by Chen and Chen (Expert Systems with Applications 36 (2009) 6833-6842) is incorrect. The main aim of this paper is to prop...