Papers by Keyword: Search Engine

Paper TitlePage

Authors: Bin Hou
Abstract: When mobile users are going to searching on the web, they would like the search engine provide the most relevant results not only with the search terms but also with their location. However, many of existing search engine only considered to the query terms relevance, as their index structure cannot support location relevance very well. Propose a new hybrid index structure that combines R-tree and inverted file. Experiments show it is faster and more accurate to furnish searching results to mobile user, and the results are considered of text relation and the location proximity.
846
Authors: Zhuang Li Qiu, Dong Ling Xu
Abstract: In the current background of quantitative academic evaluation system in China, many scholars, graduate students are tend to plagiarize from web. To detect plagiarism efficiently, there should be a massive text collection which could be accessed easily, cheaply and quickly. Some algorithms refer to the quickly developing online database, such as Chinese CNKI database. We introduced an algorithm to detect plagiarism quantitatively based on natural language segment and precise retrieval function of search engine. The source text is segmented into sentences with punctuation marks. Each sentence is searched in search engine as a single keyword with quotes. The similarity between source file and web information is computed by the ratio of matched sentences return by search engine. The experiments show that this algorithm is practical and feasible.
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Authors: Zheng Yu Zhu, Chun Lei Yu, Shu Jia Dong, Jie He
Abstract: Current popular search engines are built to serve all users, independent of the needs of any individual user. A personalized query expansion method based on user's historical interested Web pages (UHIWPs) and user’s historical query terms (UHQTs) is proposed in this paper. When a user submits a query keyword to a search engine, the new algorithm can automatically locate the current user’s implicit search intention and compute the term-term associations dynamically according to the user’s UHIWPs and UHQTs. More personalized expansion terms then will be generated and submitted to the search engine together with the query keyword. As a result, different search results can be returned to different users even though they input the same query keywords. Experimental results show that this method is better than the current algorithm in average precision.
1218
Authors: Ying Li, Xiang Feng Wei, Yu Huan Chi
Abstract: t is a tough work to select accurate web pages for search engine. This paper applied a semantic parsing model into search engine by comparing the conceptual structures between users input and text. The words, sentences and sentence groups can be mapped into conceptual symbols, semantic categories, and contextual elements based on the theory of Hierarchical Network of Concepts. The approach will improve the intelligence and flexibility of the search engine in future.
1186
Authors: Yu Lin Hsu, Pai Ling Chang, Yun Shing Chen, Da Wei Lin
Abstract: In the modern information era, communication between customers and designers must be efficient and systematic, streamlining the design process. Design processes should be interactive and effective. The Corporate Identity Information Service System (CIISS), based on a network platform, achieves this, allowing customers to participate in and evaluate the design of Corporate Identity Systems (CIS). This personalized information service system integrates corporate logos, terms and their application to merchandise, helping customers to visualize concepts and generate designs in real-time via the network. A network system was developed to support a customized commercial system for CIS design. Interfaces and object-oriented methods were integrated into an online real-time publishing information system with a database and search engine. Designers and customers are able to utilize digitized images of merchandise, corporate logos and wordings and retrieve relevant information on corporate logos, symbols, color schemes and specific wording simultaneously. This system provides rapid communication through a real-time display and customized information service, making the process of CIS design more efficient for both designer and customer.
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Authors: Tamrerk Nasomyont, Nawaporn Wisitpongphan
Abstract: Nowadays, Google has taken a role as a major platform for the Internet search; its search algorithm has been changed periodically, hence being positioned on the first page of the Google search result has a tremendous impact on the online marketing strategy of the organization. Search Engine Optimization (SEO) has been considered as one of the most effective strategies to place the webpage at the top rank of the search engine result. This paper presents the relationship between various SEO factors and the rank in the Search Engine Result Page. The results unravel the key SEO factors, e.g. Backlinks, Keyword, Site structure, that have high degree of relationship with rank in the search engine result page (SERPs).
1462
Authors: Ai Ling Duan, Dan Cao, Hai Fang Si
Abstract: Distributed search techniques of Hadoop are researched and analyzed. Combined with Lucene indexing objects, a search engine system IS successfully built. Efficiency of the system in both time and space is investigated. Merit of distributed processing architecture for a single architecture in data handling is verified. The access and update of file information in distributed search technology are further explored. The research plays a positive role in promoting study of related fields
54
Authors: Xin Guo
Abstract: Since twenty-first Century, internet technology has the rapid development, the human society entered the era of network economy. Suddenly rising e-commerce occupies half of the country's retail enterprises. How to improve the efficiency of commodity marketing under the environment of e-commerce is one of the hot problems in modern enterprises. In the paper we firstly present marketing strategy under the environment of e-commerce, analyze the basic principle of search engine marketing, analyze the relationship between basic principles under the search engine marketing framework. Combining with Boolean model, we put forward the vertical search engine oriented marketing model under e-commerce environment. In order to verify the practicability of the model based on fitting simulation of autoregressive moving average model, the results show that the marketing mode u is practical, and with scientific decision-making ability.
3872
Authors: Fan Zhang, Zheng Luo, Xi Kun Wu
Abstract: The AnswerOnWeb is intelligent question-answering system which network-oriented special field knowledge. On this Paper two technology of knowledge mining and knowledge annotator are used. The former is used in mining the answer which is hidden in semi-structure documents returned by internet search engine. The latter is used in trying to locate the answer in the some knowledge documents of special website or network service. The experiments proved that this system can not only get higher answer precision but also better question recall when is applied in the special field knowledge on net.
231
Authors: Shu Ming Hsieh, Ssu An Lo, Chiun Chieh Hsu, Da Ren Chen
Abstract: The management of university web sites is becoming more critical than before due to the rapid growth of the population dependent on the world wide web as the most important (if not the only) information source. A university can spread its research outcomes and education achievements through its web site, and consequently gain visibility and influence from the web population. Webometrics Ranking of World Universities (WR) proposed by Centre for Scientific Information and Documentation (CINDOC-CSIC), which ranks the university web sites, has obtained much attention recently. The rankings of WR are well recognized as an important index for universities willing to promote themselves by the internet technology. In this paper, we proposed WRES as an early warning system for Webometrics Rankings. WRES gathers the WR indices from the WWW automatically in flexible periods, and provides useful information in real time for the managers of university web sites. If the WR ranking of an institution is below the expected position according to their academic performance, university authorities should reconsider their web policy, by promoting substantial increases of the volume and quality of their electronic publications. Besides, the web site manages may adopt effective approaches to promote their WR rankings according to the hints given by WRES.
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