Eintrag weiter verarbeiten
Clustering Chinese Web Search Results Based on Association Calculation
Gespeichert in:
| Zeitschriftentitel: | Applied Mechanics and Materials |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Applied Mechanics and Materials, 55-57, 2011, S. 1418-1423 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Trans Tech Publications, Ltd.
|
| Schlagwörter: |
| author_facet |
Zhao, Ying Du, Ya Jun Peng, Qiang Qiang Zhao, Ying Du, Ya Jun Peng, Qiang Qiang |
|---|---|
| author |
Zhao, Ying Du, Ya Jun Peng, Qiang Qiang |
| spellingShingle |
Zhao, Ying Du, Ya Jun Peng, Qiang Qiang Applied Mechanics and Materials Clustering Chinese Web Search Results Based on Association Calculation General Engineering |
| author_sort |
zhao, ying |
| spelling |
Zhao, Ying Du, Ya Jun Peng, Qiang Qiang 1662-7482 Trans Tech Publications, Ltd. General Engineering http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1418 <jats:p>Clustering web search results is a kind of solution which help user to find the interested topic by grouping the search results. This paper presents an improved method for clustering search results focused on Chinese web pages. The main contributions of this paper are the following: First, in this paper, a method which identifies the complete semantic information phrase by comparing the attributes of base clusters in the suffix tree document model and the overlap of their document sets is presented. Second, by analyzing the content and structure of title and snippet of Chinese web search results, one way of sentence segmentation is designed and implemented to constructing suffix tree. Third, In order to better respond to the associate degree of terms, a novel method is proposed which compute the distance in sentence-grain of terms' co-occurrences. Finally, the experiment illustrates that the new clustering method provides an efficient and effective way for user browsing and locating sought information.<jats:italic /></jats:p> Clustering Chinese Web Search Results Based on Association Calculation Applied Mechanics and Materials |
| doi_str_mv |
10.4028/www.scientific.net/amm.55-57.1418 |
| facet_avail |
Online |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDAyOC93d3cuc2NpZW50aWZpYy5uZXQvYW1tLjU1LTU3LjE0MTg |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDAyOC93d3cuc2NpZW50aWZpYy5uZXQvYW1tLjU1LTU3LjE0MTg |
| institution |
DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-D161 DE-Zi4 DE-Gla1 DE-15 DE-Pl11 DE-Rs1 DE-14 DE-105 |
| imprint |
Trans Tech Publications, Ltd., 2011 |
| imprint_str_mv |
Trans Tech Publications, Ltd., 2011 |
| issn |
1662-7482 |
| issn_str_mv |
1662-7482 |
| language |
Undetermined |
| mega_collection |
Trans Tech Publications, Ltd. (CrossRef) |
| match_str |
zhao2011clusteringchinesewebsearchresultsbasedonassociationcalculation |
| publishDateSort |
2011 |
| publisher |
Trans Tech Publications, Ltd. |
| recordtype |
ai |
| record_format |
ai |
| series |
Applied Mechanics and Materials |
| source_id |
49 |
| title |
Clustering Chinese Web Search Results Based on Association Calculation |
| title_unstemmed |
Clustering Chinese Web Search Results Based on Association Calculation |
| title_full |
Clustering Chinese Web Search Results Based on Association Calculation |
| title_fullStr |
Clustering Chinese Web Search Results Based on Association Calculation |
| title_full_unstemmed |
Clustering Chinese Web Search Results Based on Association Calculation |
| title_short |
Clustering Chinese Web Search Results Based on Association Calculation |
| title_sort |
clustering chinese web search results based on association calculation |
| topic |
General Engineering |
| url |
http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1418 |
| publishDate |
2011 |
| physical |
1418-1423 |
| description |
<jats:p>Clustering web search results is a kind of solution which help user to find the interested topic by grouping the search results. This paper presents an improved method for clustering search results focused on Chinese web pages. The main contributions of this paper are the following: First, in this paper, a method which identifies the complete semantic information phrase by comparing the attributes of base clusters in the suffix tree document model and the overlap of their document sets is presented. Second, by analyzing the content and structure of title and snippet of Chinese web search results, one way of sentence segmentation is designed and implemented to constructing suffix tree. Third, In order to better respond to the associate degree of terms, a novel method is proposed which compute the distance in sentence-grain of terms' co-occurrences. Finally, the experiment illustrates that the new clustering method provides an efficient and effective way for user browsing and locating sought information.<jats:italic /></jats:p> |
| container_start_page |
1418 |
| container_title |
Applied Mechanics and Materials |
| container_volume |
55-57 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792324891625652233 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T11:56:44.737Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Clustering+Chinese+Web+Search+Results+Based+on+Association+Calculation&rft.date=2011-05-01&genre=article&issn=1662-7482&volume=55-57&spage=1418&epage=1423&pages=1418-1423&jtitle=Applied+Mechanics+and+Materials&atitle=Clustering+Chinese+Web+Search+Results+Based+on+Association+Calculation&aulast=Peng&aufirst=Qiang+Qiang&rft_id=info%3Adoi%2F10.4028%2Fwww.scientific.net%2Famm.55-57.1418&rft.language%5B0%5D=und |
| SOLR | |
| _version_ | 1792324891625652233 |
| author | Zhao, Ying, Du, Ya Jun, Peng, Qiang Qiang |
| author_facet | Zhao, Ying, Du, Ya Jun, Peng, Qiang Qiang, Zhao, Ying, Du, Ya Jun, Peng, Qiang Qiang |
| author_sort | zhao, ying |
| container_start_page | 1418 |
| container_title | Applied Mechanics and Materials |
| container_volume | 55-57 |
| description | <jats:p>Clustering web search results is a kind of solution which help user to find the interested topic by grouping the search results. This paper presents an improved method for clustering search results focused on Chinese web pages. The main contributions of this paper are the following: First, in this paper, a method which identifies the complete semantic information phrase by comparing the attributes of base clusters in the suffix tree document model and the overlap of their document sets is presented. Second, by analyzing the content and structure of title and snippet of Chinese web search results, one way of sentence segmentation is designed and implemented to constructing suffix tree. Third, In order to better respond to the associate degree of terms, a novel method is proposed which compute the distance in sentence-grain of terms' co-occurrences. Finally, the experiment illustrates that the new clustering method provides an efficient and effective way for user browsing and locating sought information.<jats:italic /></jats:p> |
| doi_str_mv | 10.4028/www.scientific.net/amm.55-57.1418 |
| facet_avail | Online |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDAyOC93d3cuc2NpZW50aWZpYy5uZXQvYW1tLjU1LTU3LjE0MTg |
| imprint | Trans Tech Publications, Ltd., 2011 |
| imprint_str_mv | Trans Tech Publications, Ltd., 2011 |
| institution | DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-D161, DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105 |
| issn | 1662-7482 |
| issn_str_mv | 1662-7482 |
| language | Undetermined |
| last_indexed | 2024-03-01T11:56:44.737Z |
| match_str | zhao2011clusteringchinesewebsearchresultsbasedonassociationcalculation |
| mega_collection | Trans Tech Publications, Ltd. (CrossRef) |
| physical | 1418-1423 |
| publishDate | 2011 |
| publishDateSort | 2011 |
| publisher | Trans Tech Publications, Ltd. |
| record_format | ai |
| recordtype | ai |
| series | Applied Mechanics and Materials |
| source_id | 49 |
| spelling | Zhao, Ying Du, Ya Jun Peng, Qiang Qiang 1662-7482 Trans Tech Publications, Ltd. General Engineering http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1418 <jats:p>Clustering web search results is a kind of solution which help user to find the interested topic by grouping the search results. This paper presents an improved method for clustering search results focused on Chinese web pages. The main contributions of this paper are the following: First, in this paper, a method which identifies the complete semantic information phrase by comparing the attributes of base clusters in the suffix tree document model and the overlap of their document sets is presented. Second, by analyzing the content and structure of title and snippet of Chinese web search results, one way of sentence segmentation is designed and implemented to constructing suffix tree. Third, In order to better respond to the associate degree of terms, a novel method is proposed which compute the distance in sentence-grain of terms' co-occurrences. Finally, the experiment illustrates that the new clustering method provides an efficient and effective way for user browsing and locating sought information.<jats:italic /></jats:p> Clustering Chinese Web Search Results Based on Association Calculation Applied Mechanics and Materials |
| spellingShingle | Zhao, Ying, Du, Ya Jun, Peng, Qiang Qiang, Applied Mechanics and Materials, Clustering Chinese Web Search Results Based on Association Calculation, General Engineering |
| title | Clustering Chinese Web Search Results Based on Association Calculation |
| title_full | Clustering Chinese Web Search Results Based on Association Calculation |
| title_fullStr | Clustering Chinese Web Search Results Based on Association Calculation |
| title_full_unstemmed | Clustering Chinese Web Search Results Based on Association Calculation |
| title_short | Clustering Chinese Web Search Results Based on Association Calculation |
| title_sort | clustering chinese web search results based on association calculation |
| title_unstemmed | Clustering Chinese Web Search Results Based on Association Calculation |
| topic | General Engineering |
| url | http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1418 |