An Exploratory Study of Enhancing Text Clustering with Auto-Generated Semantic Tags

Tang, Xuning; Dang, Jiangbo

doi:10.1109/skg.2012.17

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Vector Space Model1

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2013

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“…Actually, this would work will be giving more satisfactory result if we implement text clustering [10].…”

Section: Vector Space Modelmentioning

confidence: 99%

Generating customized web search result through community driven search engine

Hantono

Putra

2013

2013 International Conference on Information Technology and Electrical Engineering (ICITEE)

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These days, the growth of web has led it to a big source of information. Web search engine plays an important role of searching desired information from this enormous web. However, search engine provides the same result independently to the user while actually each user has different preference. In this paper, we present a novel method of customized web search result generation to provide a better result according to community's preference. We benefit from proxy servers, which are widely used in a community network to reduce bandwidth needs. Proxy servers are, actually, providing the user preference within its access log that contains accessed URLs. Instead of web crawler, we will use this logs, which is always updated as users browse the web through this proxy. This would be the base of our customized web search. As the proxy log only covers URL list, we still need to crawl the information contained in an URL. When the crawling method has completed, document vector is created to make those data to be more machine friendly. Eventually, searching process is carried out by utilizing the vector space model.

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“…Actually, this would work will be giving more satisfactory result if we implement text clustering [10].…”

Section: Vector Space Modelmentioning

confidence: 99%