network flows. In order to increase search efficiency further, peer groups were studied, and the concept of similar peer groups and a keywords based similarity measuring model between peer groups were proposed. In the model, similarity degrees of each document belonging two peers were first calculated according to the
As the amount of data increases and the relations among them get more complex, access to information implicit in data appears more difficult, and the role of methods of getting data from diverse texts, and analyzing them becomes more significant. Of such methods is the highly effective technique of keyword extraction
. Structured Query Language [SQL] is not convenient to exploit the associated data for a usual web user. To overcome the above problem, searching through keyword has proven to be instinctive. It uses the keyword relationships collected individually for single database to capture elements at data level. With increase in the amount
Sponsored links on search engines are an emerging advertising tool, whereby a number of slots are put on sale through keyword auctions. This is also known as contextual advertising. Slot assignment and pricing in keyword auctions are then essential for the search engine’s management since provide the main stream of
In many cases keywords from a restricted set of possible keywords have to be assigned to texts. A common way to find the best keywords is to rank terms occurring in the text according to their tf.idf value. This requires a corpus of texts from which document frequencies can be derived. In this paper we show that we
The generalized second-price auction mechanism is commonly used in research in the context of keyword advertising slot auctioning. The mechanism sets the clearing prices for advertising slots on a search engine’s Web pages such that the advertiser will pay what was bid for the next lower advertising slot each time
This article discusses automatic extraction of relevant words from sets of texts. The author briefly presents three methods aimed to extract the words from the corpus of words with regard to their frequency, or words whose occurrence next to each other is not random. First, he focuses on the keyword analysis method
contents making methods based on the keywords, which a teacher defines in advance, using the part of a lecture video in a university. That ldrsldr to say, the teacher is content ldrsldr producer, and he has the copyright of it, according to various educational purposes, the authorization organization is built up. I formulate
Keywords chronicle and capture cultural change by creating common categories of meaning against diverse local usages. We call this the global-local tension. To test competing theories of this tension, we employ frame analysis of more than 500 journal abstracts over a 25-year period, tracking the spread of
Bibliometric analysis based on literature in the Web of Science (WOS) has become an increasingly popular method for visualizing the structure of scientific fields. Keywords Plus and Author Keywords are commonly selected as units of analysis, despite the limited research evidence demonstrating the
This paper presents a novel probability based approach for distinguishing between keyword and stopword from a text corpus. This has a lot of applications including automatic construction of stopword list. First objective of this paper is to investigate the role of probability distribution for distinguishing between
In this paper we focus on personalized recommendation algorithm for coupon deals, which are very different from deals of other retailers. We first analyzed some sample deals from Groupon and found that deals under category dining, Wellness and activities have a high probability of having the same keywords in the deal
Przedmiotem artykułu są słowa kluczowe oraz ich nowsza odmiana zwana tagami. Wyrażenia te zostały potraktowane jako elementy systemów leksykalnych odpowiednich języków: języka słów kluczowych oraz języka tagów. Prezentacja tych grup słownictwa ma na celu wykazanie, że nie są to homonimiczne grupy leksyki zarówno pod względem strukturalnym, jak i funkcjonalnym. Wymienione zasoby słownictwa zostały...
Word clouds generated from the keywords and titles of articles published in American Ethnologist in the years 1982, 1992, 2002, and 2012 offer a fascinating, though partial, history of anthropological theory over the past several decades. Keyword selection also, I argue, constitutes a type of literacy
W polskich bibliotekach cyfrowych tworzonych przy pomocy platformy dLibra najczęściej stosuje się język swobodnych słów kluczowych do wyrażania treści dokumentów. Na przykładzie Wielkopolskiej Biblioteki Cyfrowej bada się użyteczność tego prostego języka informacyjno wyszukiwawczego do tworzenia opisu rzeczowego i jako narzędzia wyszukiwania. Przedmiotem analizy były opisy obiektów cyfrowych w formacie...
Information and knowledge organization by keywords is presently effected in information and retrieval systems – not only in various taxonomic structures, but also in new structures of a folksonomic and ontological nature as well as mind maps. The need for a fresh look at keyword results from the new possibilities of
In this paper, we propose a novel text-art system: input a source picture and some keywords introducing the information about the picture, and the output is the so-called PicWords in the form of the source picture composed of the introduction keywords. Different from traditional text-graphics which are created by
Finding relevant information is a big challenge in today's information retrieval domain. Various applications need to find objects closest to the mentioned location that has a set of keywords. In a spatial dataset, objects are linked with some keyword(s) which specify their features. Closest Keywords is a method to
Search-based advertising services provided by search engines enable companies to promote their products to internet users based on their queries is now a major online advertising channel. In most search based advertising services, a company sets a budget, selects keywords, bid for each keyword and pay for each click
The article presents the use of generative grammars in linguistic modeling. A description of sentence syntax modeling is used to automate the process of analysis and synthesis of natural language texts. The article reveals the features of synthesizing sentences of different languages with the use of generative grammars. The article examines influence of norms and rules of a language on the process...
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SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.