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NETSPEAK helps writers in choosing words while writing a text. It checks for the commonness of phrases and allows for the retrieval of alternatives by means of wildcard queries. To support such queries, we implement a scalable retrieval engine, which returns high-quality results within milliseconds using a probabilistic retrieval strategy. The results are displayed as WORDGRAPH visualization or as...
Sponsored Search allows companies to place text advertisements for selected keywords on Search Engine Results Pages (SERPs). The objective of the present research is to determine whether and under what circumstances it makes sense, in economic terms, for brand owners to pay for sponsored search ads for their brand
In this paper we explore the design of Leyline, a provenance-based desktop search and file management system, both on a conceptual and user interface level. We start with a comparative analysis and classification of previous provenance based search systems, examining their underlying assumptions and focus, search coverage and flexibility, as well as features and limitations. We then describe a novel...
heterogeneity where diverse advertisers of different types may be competing for the same search keyword. We examine advertisers' behaviors from the lens of the strategic group theory. We first develop an approach to cluster participating advertisers into strategic groups and then empirically examine whether these groups manifest
Programming today regularly involves searching for source code online, whether through a general search engine such as Google or a specialized code search engine such as SearchCode, Ohloh, or GitHub. Searching typically is an iterative process, with develop-ers adjusting the keywords they use based on the results of
keywords, the number of communities, the average clustering coefficient, and the average similarities of web pages. These five impact factors contain statistic and content information of an event. Empirical experiments on real datasets including Google Zeitgeist and Google Trends show that that the number of web pages and the
mobile device and query terms submitted by a user are formatted into the specific format. Then these treated elements are sent to an expert system to match with the rules. Finally, according to the matched rules, the additional keywords are appended to the query terms so as to catch on the user's search intention
Nowadays, various search engines provide an easy way to search an application that meets the user requirements. However, there are an increasing number of similar feature applications or a large number of applications that are intentionally implanted popular keywords in their information. Thus, search results may have
number of citations. The variation of the number of citations over time is useful for determining the recency of a database and it is related to the timeliness dimension. Regarding to relevancy, the keywords of papers are useful to indicate the main context of application of these databases.
to collect active commercial entities and a commercial relation lexicon is created to collect keywords that flag commercial relations. Illustration and applications are also discussed, which undoubtedly discloses a promising future of commercial network study.
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