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In recent years, auto market of China has achieved a great development, and it's a hot topic to study the sales of German car in China. This paper used a new data resource — queries from search engine, to study the relationship between web search data and the sales of German cars in China, built conceptual
Children with intellectual disabilities are very challenging to teach, and can learn best with the use of different methodologies that engage their senses, such as using images, sounds and clips. In this work, a new educational system that can generate multimedia based tutorials dynamically is proposed. This system
Most web search engines use only the search keywords for searching. Due to the ambiguity of semantics and usages of the search keywords, the results are noisy and many of them do not match the user's search goals. This paper presents the design of an intelligent Search Bot, which operates as an agent for a user by
Tagging refers to the metadata that many users added in the form of keywords on photos, videos, and other resources for sharing the contents via the internet. However, there are several difficulties with tagging that come from tag variation, tag ambiguity and flat organization. This paper presents the integration of
In order to study the retrieval precision of network information and solve the problems existed in search engines this paper analyzes problems and precision in the information retrieval according to experimental data such as image retrieval with different retrieval keywords, and puts forward a new construction of
As various individuals and organizations disseminate information on their Web pages, real-world social events and changes are considered to be reflected in Web trends. The billions of Web pages that now exist are retrieved by Web search engines which accept keywords and return a search engine results page (SERP
dynamic features. However, it is difficult to detect events since the huge scale and dynamics of the internet. In this paper, we define the novel problem of investigating impact factors for event detection. We give the definitions of five impact factors including the number of increased web pages, the number of increased
The results of Text Big Data Analytics Study «Third Wave» are presented. Morphological Text Big Data Analytics is described as a new resource for flexible Global management metrics. The problem of Muslim refugees was viewed as the most urgent for Global management. New rating of countries Index of
term according to Chinese term from the bilingual literature abstracts. The abstracts are retrieved using the Chinese term as keyword from the Chinese literature database cnki on demand. We present a new method to align the Chinese sentences with the corresponding English sentences with the help of the specific words
The results of Text Big Data Analytics Study «Third Wave» is presented. The Study is provided by Dell EMC External Research and Academic Alliances in Russia. Counted keywords are investigated in terms of Glocalization (Globalization plus Localization) issues. The findings include: Glocalization picture
It is well known that the key issue of online marketing is to accurately find the target user groups for the corresponding advertisements. Traditionally, the advertising products target user groups based on search keywords (e.g. AdWords), page visiting (e.g. AdSense), and etc. In this work, we explore a new targeting
addition, finding good results concerning the given subjects needs to consider the entire context. However, context can be derived from user interactions. In this work, we propose a new method to retrieval conversation on micro blogging sites. It's based on content analysis and content enrichment. The goal of our method is to
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
academic field. Both of this plagiarism is hardly detected due to the difference in their fingerprints. Plagiarism detection tools available are not capable to detect such plagiarism cases. In this research, we propose a new approach in detecting both cross language and semantic plagiarism. We consider Bahasa Melayu as the
Behavioral targeting of content to users is a huge and lucrative business, valued as a $20 billion industry that is growing rapidly. So far, the dominant players in this field like Google and Yahoo! examine the user requests coming to their servers and place appropriate ads based on the user's search keywords. Triple
recursive partitioning ranking scheme, are capable of reverse engineering Google's ranking algorithm with high accuracy. As an example, we manage to correctly predict 7 out of the top 10 pages for 78% of evaluated keywords. Moreover, for content-only ranking, our system can correctly predict 9 or more pages out of the top 10
Web is becoming a programmable platform, with countless services blooming everyday in various forms like Feeds, REST APIs and Widgets, etc. Although the existing technologies, such as Mashups, have reduced the challenges to build new applications by composing these services, it's still far from enabling the non
The availability of online GIS (Geographic Information Systems) maps has provided a new source of spatial information to tourists. However these maps have yet to be evaluated of their effectiveness. This has challenged scholars to further investigate methods of evaluating geographic information retrieval. Therefore
the correct answer among their top 10 search results. Internet's redundancy of information and the recent proliferation of user generated content helps search engines to remain almost entirely keyword oriented and still robustly handle equivalent versions of queries. In this paper we propose a family of metrics to
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