Matches in ScholarlyData for { ?s ?p Recently, query suggestions are quite useful in web searches. Most of them provide additional and correct terms based on the initial query entered by users. However, users can not be satisfied with them, when user has ambiguous or diverse information requests. In those cases, faceted query expansions along with their usage are quite efficient.In this paper, faceted query expansion methods using Community QuestionAnswering(CQA) resources are proposed. CQA is one of the social networkservice(SNS) which aims to share user knowledge. In a CQA site, users can post their questions in a suitable category. And others pick up and answer the questions according to the category framework. Thus, the "category" in CQA makes "facet" of query expansion. In addition, the season of question posting plays a important role in understanding its context. Thus, the "seasonality" makes another "facet" of query expansion.Therefore, we implement the two-dimensional faceted query expansion methods based on the results of LDA( Latent Dirichlet Allocation ) analysis to the CQA resources. Moreover, the question-articles deriving query expansion will be provided for choosing appropriate terms by users.Our sophisticated evaluations using actual and long-term CQA resources, such as "Yahoo! CHIEBUKURO", demonstrate that most part of CQA questions are posted in periodicity and bursts.. }
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- 8 abstract "Recently, query suggestions are quite useful in web searches. Most of them provide additional and correct terms based on the initial query entered by users. However, users can not be satisfied with them, when user has ambiguous or diverse information requests. In those cases, faceted query expansions along with their usage are quite efficient.In this paper, faceted query expansion methods using Community QuestionAnswering(CQA) resources are proposed. CQA is one of the social networkservice(SNS) which aims to share user knowledge. In a CQA site, users can post their questions in a suitable category. And others pick up and answer the questions according to the category framework. Thus, the "category" in CQA makes "facet" of query expansion. In addition, the season of question posting plays a important role in understanding its context. Thus, the "seasonality" makes another "facet" of query expansion.Therefore, we implement the two-dimensional faceted query expansion methods based on the results of LDA( Latent Dirichlet Allocation ) analysis to the CQA resources. Moreover, the question-articles deriving query expansion will be provided for choosing appropriate terms by users.Our sophisticated evaluations using actual and long-term CQA resources, such as "Yahoo! CHIEBUKURO", demonstrate that most part of CQA questions are posted in periodicity and bursts.".