應用Web資訊匯流與社群平台於IT領域

對現代人而言，關鍵字搜尋在解決問題上變成極為重要的工具，搜尋引擎提供給使用者的結果，成為使用者尋找解決方法的依據。全球最大搜尋引擎Google，雖然能提供使用者全球搜尋的結果，但不會依據使用者的不同領域需求，提供相對應的學習或解決方案。而搜尋結果僅是提供相對應關鍵字的網站連結，無法整合在眾多網頁之間的重複性問題，使用者無法判斷眾多搜尋結果中的有效解決方案，只能在低效率的狀況下依序瀏覽。在IT領域也有類似問題，使用者等待IT經銷商或技術維護人員在現場解決問題，但常無法有效利用搜尋及時解決。本論文開發itQA社群平台，提供使用者與經銷商直接聯繫回報產品問題的發問平台，並提供經銷商維修人員在外出維修時，針對產品狀況快速「搜尋最佳解決方案」並回報搜尋結果，提升一般使用者優化的搜尋結果。同時分析使用者紀錄，分析瀏覽的該問題對問題關鍵字的解決程度。

關鍵字

關鍵字搜尋；搜尋優化；行為分析

並列摘要

Modern people are familiar to use search engines to solve their daily problems. Google provides well search services; however, search results are optimized for general purpose not for user’s requirements about specific domain problems. Also, Google search results present relevant web links, users frequently spend long time to navigate possible links for seeking adequate information. Such problems also happen in the IT domain. People having IT troubles always wait for IT staffs to solve problems. When IT staffs cannot solve hard problems, they are hard to find solutions from Web search engines on time. To improve IT services, we develop the itQA social platform that integrates social services for general users and IT staffs. Based on the platform, IT questions are aggregated into the same pool. Also, itQA integrates Web Crawler and Search Engine techniques that aggregate IT information into the platform by crawling and indexing QA contents from popular IT websites. In this way, all IT QA contents can be aggregated into the same platform so that accumulated user logs and feedbacks can be analyzed to gradually improve the quality of the itQA platform.

並列關鍵字

Keyword Search ； Searching Optimization ； User Analysis

參考文獻

[1] Chien, L. F. (1997, July). PAT-tree-based keyword extraction for Chinese information retrieval. In ACM SIGIR Forum (Vol. 31, No. SI, pp. 50-58). ACM.