Difference between revisions of "Personalized Facets for Faceted Search Using Wikipedia Disambiguation and Social Network"
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| − | '''Personalized Facets for Faceted Search Using Wikipedia Disambiguation and Social Network''' - scientific work related to Wikipedia quality published in 2016, written by Hong Son Nguyen, Hong Phuc Pham, Trong Hai Duong, Thi Phuong Trang Nguyen and Huynh Minh Triet Le. | + | '''Personalized Facets for Faceted Search Using Wikipedia Disambiguation and Social Network''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Hong Son Nguyen]], [[Hong Phuc Pham]], [[Trong Hai Duong]], [[Thi Phuong Trang Nguyen]] and [[Huynh Minh Triet Le]]. |
== Overview == | == Overview == | ||
| − | The main aim of this paper is to deal with semantic search based on personalized facets using Wikipedia disambiguation data which can help to solve lexical ambiguity. User profile is learned from his/her activities and preferences in Facebook social network. Faceted graph visualization for result collaborative filtering is proposed. The facets are vertices representing ontological concepts. Other vertices represent instances belonging to the concepts, which are known as facets values. The vertices are highlighted by matching with user profile using TF-IDF feature vector model in order to individually produce search interfaces . The ties between vertices are ontological relations or properties considering as variables/attributes of facets. An algorithm to construct the faceted graph visualization and collaboratively filter search result is also provided. The faceted search method presented here is implemented to demonstrate these ideas. | + | The main aim of this paper is to deal with semantic search based on personalized facets using [[Wikipedia]] disambiguation data which can help to solve lexical ambiguity. User profile is learned from his/her activities and preferences in [[Facebook]] [[social network]]. Faceted graph visualization for result collaborative filtering is proposed. The facets are vertices representing ontological concepts. Other vertices represent instances belonging to the concepts, which are known as facets values. The vertices are highlighted by matching with user profile using TF-IDF feature vector model in order to individually produce search interfaces . The ties between vertices are ontological relations or properties considering as variables/attributes of facets. An algorithm to construct the faceted graph visualization and collaboratively filter search result is also provided. The faceted search method presented here is implemented to demonstrate these ideas. |
Revision as of 04:08, 29 December 2020
Personalized Facets for Faceted Search Using Wikipedia Disambiguation and Social Network - scientific work related to Wikipedia quality published in 2016, written by Hong Son Nguyen, Hong Phuc Pham, Trong Hai Duong, Thi Phuong Trang Nguyen and Huynh Minh Triet Le.
Overview
The main aim of this paper is to deal with semantic search based on personalized facets using Wikipedia disambiguation data which can help to solve lexical ambiguity. User profile is learned from his/her activities and preferences in Facebook social network. Faceted graph visualization for result collaborative filtering is proposed. The facets are vertices representing ontological concepts. Other vertices represent instances belonging to the concepts, which are known as facets values. The vertices are highlighted by matching with user profile using TF-IDF feature vector model in order to individually produce search interfaces . The ties between vertices are ontological relations or properties considering as variables/attributes of facets. An algorithm to construct the faceted graph visualization and collaboratively filter search result is also provided. The faceted search method presented here is implemented to demonstrate these ideas.
