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In this study, we used the Google Trends as a prediction tool to predict the investors' behavior and its impact on stock market. In the behavior and social perspective, more and more Internet users use Google Trends as the search engine to surf on the websites every day. Therefore, these search actions can be seen as personal votes because Internet users often search items they are interested in....
KSORD (keyword search over relational database) techniques allow users to obtain information from databases, which is just like using search engines. However, the advanced techniques only realize exact queries, but not for fuzzy queries. The Rocchio algorithm of learning classification is introduced which is made a
social media. Discovering keyword-based correlated networks of these large graphs is an important primitive in data analysis, from which users can pay more attention about their concerned information in the large graph. In this paper, we propose and define the problem of keyword-based correlated network computation over a
keywords query and the common structure information of XML datasets. We can evaluate the generated structured queries over the XML data sources with any existing structure search engine.
In this paper we address the issue of continuous keyword queries on multiple textual streams and explore techniques for extracting useful information from them. The paper represents, to our best knowledge, the first approach that performs keyword search on a multiplicity of textual streams. The scenario that we
Google Scholar is one of the major academic search engines but its ranking algorithm for academic articles is unknown. In a recent study we partly reverse-engineered the algorithm. This paper presents the results of our second study. While the previous study provided a broad overview, the current study focused on analyzing the correlation of an article's citation count and its ranking in Google Scholar...
XML has become an important format for exchange data. Ranking of XML search results directly relates to XML information retrieval performance. Most of the existing ranking models consider words statistical characteristics in the XML document, but they do not consider position of the node a word belongs to. That is to say, all of nodes in XML document have the equal importance. However, different node...
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