Difference between revisions of "Exploring Wikipedia and Dmoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications"
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== Overview == | == Overview == | ||
The outgrowth of [[social network]]s in the recent years has resulted in opportunities for interesting data mining problems, such as interest or friendship recommendations. A global [[ontology]] over the interests specified by the users of a social network is essential for accurate recommendations. Authors propose, evaluate and compare three approaches to engineering a hierarchical ontology over user interests. The proposed approaches make use of two popular knowledge bases, [[Wikipedia]] and Directory Mozilla, to extract interest definitions and/or relationships between interests. More precisely, the first approach uses Wikipedia to find interest definitions, the latent semantic analysis technique to measure the similarity between interests based on their definitions, and an agglomerative clustering algorithm to group similar interests into higher level concepts. The second approach uses the Wikipedia Category Graph to extract relationships between interests, while the third approach uses Directory Mozilla to extract relationships between interests. Authors results show that the third approach, although the simplest, is the most effective for building a hierarchy over user interests. | The outgrowth of [[social network]]s in the recent years has resulted in opportunities for interesting data mining problems, such as interest or friendship recommendations. A global [[ontology]] over the interests specified by the users of a social network is essential for accurate recommendations. Authors propose, evaluate and compare three approaches to engineering a hierarchical ontology over user interests. The proposed approaches make use of two popular knowledge bases, [[Wikipedia]] and Directory Mozilla, to extract interest definitions and/or relationships between interests. More precisely, the first approach uses Wikipedia to find interest definitions, the latent semantic analysis technique to measure the similarity between interests based on their definitions, and an agglomerative clustering algorithm to group similar interests into higher level concepts. The second approach uses the Wikipedia Category Graph to extract relationships between interests, while the third approach uses Directory Mozilla to extract relationships between interests. Authors results show that the third approach, although the simplest, is the most effective for building a hierarchy over user interests. | ||
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+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Haridas, Mandar; Caragea, Doina. (2009). "[[Exploring Wikipedia and Dmoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-05151-7_35. | ||
+ | </nowiki> | ||
+ | </code> | ||
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+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{cite journal |last1=Haridas |first1=Mandar |last2=Caragea |first2=Doina |title=Exploring Wikipedia and Dmoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications |date=2009 |doi=10.1007/978-3-642-05151-7_35 |url=https://wikipediaquality.com/wiki/Exploring_Wikipedia_and_Dmoz_as_Knowledge_Bases_for_Engineering_a_User_Interests_Hierarchy_for_Social_Network_Applications |journal=Springer, Berlin, Heidelberg}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Haridas, Mandar; Caragea, Doina. (2009). &quot;<a href="https://wikipediaquality.com/wiki/Exploring_Wikipedia_and_Dmoz_as_Knowledge_Bases_for_Engineering_a_User_Interests_Hierarchy_for_Social_Network_Applications">Exploring Wikipedia and Dmoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications</a>&quot;. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-05151-7_35. | ||
+ | </nowiki> | ||
+ | </code> |
Revision as of 12:26, 8 November 2019
Authors | Mandar Haridas Doina Caragea |
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Publication date | 2009 |
DOI | 10.1007/978-3-642-05151-7_35 |
Links | Original |
Exploring Wikipedia and Dmoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications - scientific work related to Wikipedia quality published in 2009, written by Mandar Haridas and Doina Caragea.
Overview
The outgrowth of social networks in the recent years has resulted in opportunities for interesting data mining problems, such as interest or friendship recommendations. A global ontology over the interests specified by the users of a social network is essential for accurate recommendations. Authors propose, evaluate and compare three approaches to engineering a hierarchical ontology over user interests. The proposed approaches make use of two popular knowledge bases, Wikipedia and Directory Mozilla, to extract interest definitions and/or relationships between interests. More precisely, the first approach uses Wikipedia to find interest definitions, the latent semantic analysis technique to measure the similarity between interests based on their definitions, and an agglomerative clustering algorithm to group similar interests into higher level concepts. The second approach uses the Wikipedia Category Graph to extract relationships between interests, while the third approach uses Directory Mozilla to extract relationships between interests. Authors results show that the third approach, although the simplest, is the most effective for building a hierarchy over user interests.
Embed
Wikipedia Quality
Haridas, Mandar; Caragea, Doina. (2009). "[[Exploring Wikipedia and Dmoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-05151-7_35.
English Wikipedia
{{cite journal |last1=Haridas |first1=Mandar |last2=Caragea |first2=Doina |title=Exploring Wikipedia and Dmoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications |date=2009 |doi=10.1007/978-3-642-05151-7_35 |url=https://wikipediaquality.com/wiki/Exploring_Wikipedia_and_Dmoz_as_Knowledge_Bases_for_Engineering_a_User_Interests_Hierarchy_for_Social_Network_Applications |journal=Springer, Berlin, Heidelberg}}
HTML
Haridas, Mandar; Caragea, Doina. (2009). "<a href="https://wikipediaquality.com/wiki/Exploring_Wikipedia_and_Dmoz_as_Knowledge_Bases_for_Engineering_a_User_Interests_Hierarchy_for_Social_Network_Applications">Exploring Wikipedia and Dmoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications</a>". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-05151-7_35.