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Search your interests everywhere!: Wikipedia-based keyphrase extraction from Web browsing history
Abstract This paper proposes a method that can extrThis paper proposes a method that can extract user interests from the user's Web browsing history. Our method allows easy access to multiple content domains such as blogs, movies, QA sites, etc. since the user does not need to input a separate search query in each domain/site.To extract user interests, the method first extracts candidate keyphrases from the user's web browsed documents. Second, important keyphrases obtained from a link structure analysis of Wikipedia content is extracted from the main contents of web documents. This technique is based on the idea that important keyphrases in Wikipedia are important keyphrases in the real world. Finally, keyphrases contained in the documents important to the user are set in order as user interests. An experiment shows that our method offers improvements over a conventional method and can recommend interests attractive to the user.ecommend interests attractive to the user.
Abstractsub This paper proposes a method that can extrThis paper proposes a method that can extract user interests from the user's Web browsing history. Our method allows easy access to multiple content domains such as blogs, movies, QA sites, etc. since the user does not need to input a separate search query in each domain/site.To extract user interests, the method first extracts candidate keyphrases from the user's web browsed documents. Second, important keyphrases obtained from a link structure analysis of Wikipedia content is extracted from the main contents of web documents. This technique is based on the idea that important keyphrases in Wikipedia are important keyphrases in the real world. Finally, keyphrases contained in the documents important to the user are set in order as user interests. An experiment shows that our method offers improvements over a conventional method and can recommend interests attractive to the user.ecommend interests attractive to the user.
Bibtextype inproceedings  +
Doi 10.1145/1810617.1810682  +
Has author Mitsumasa Kondo + , Akimichi Tanaka + , Tadasu Uchiyama +
Has extra keyword Conventional methods + , Keyphrase extraction + , Link structure analysis + , Search queries + , User interests + , Web browsing + , Web document + , Wikipedia + , Hypermedia systems + , Hypertext systems +
Isbn 9781450300414  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 295–296  +
Published in HT'10 - Proceedings of the 21st ACM Conference on Hypertext and Hypermedia +
Title Search your interests everywhere!: Wikipedia-based keyphrase extraction from Web browsing history +
Type conference paper  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 8 November 2014 05:24:55  +
Categories Duplicate publication  + , Publications without keywords parameter  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 05:24:55  +
DateThis property is a special property in this wiki. 2010  +
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Search your interests everywhere!: Wikipedia-based keyphrase extraction from Web browsing history + Title
 

 

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