کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
484888 703300 2015 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Labeling of Web Search Result Clusters Using Heuristic Search and Frequent Itemset
ترجمه فارسی عنوان
برچسب زدن نتایج جستجوی وب با استفاده از جستجوی اکتشافی و عنصر مکرر؟
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

Clustering of search result is undoubtedly a tool that can provide the summarization of the millions of documents in a way where a user can easily locate his/her information. To guide user to the right cluster of documents, cluster labels should be meaningful and correctly representing the clusters. However significant a cluster is, if the label is not proper, user will never select it. In this paper, we present a method to label clusters based on their linking information. Our cluster labeling method is independent of any clustering method but restricted to only search result documents. We use heuristic search method to find all the linked documents of a cluster. If all or some documents of a cluster share hyperlinks, then we deduce label from these linked documents’ titles using famous Apriori algorithm for frequent itemset mining. This removes the requirement of reviewing other members of a cluster in labeling process.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 46, 2015, Pages 216-222