出版社：The Japanese Society for Artificial Intelligence
摘要：Travelers planning to visit a particular tourist spot need information about their destination and they often use travel guidebooks (guidebooks) to collect this information. However, guidebooks lack specific information, such as first-hand accounts by users who have visited the specific destination. To compensate for the lack of such information, we focused on travel blog entries (blog entries) and archives of answered question (QA archives). In this paper, we propose a method for enriching guidebooks by aligning with blog entries and question answering archives. This is a three-step method. In Step1, we classify pages of guidebooks, blog entries and QA archives into five types of content, such as "watch" and "eat." In Step 2, we align each blog entry and QA archive with guidebooks by taking these content types into account. In Step 3, we align each blog entry and QA archive with individual pages in guidebooks. To investigate the effectiveness of our method, we conducted a few experiments. Accordingly, 82.0% of blog entries and 77.0% of QA archives were judged to be helpful for travelers. Finally, we constructed a prototype system that provides enriched guidebooks.
关键词：travel information processing ; travel guidebook, blog ; archives of answered question
