電子商務興起取代實體通路，在網路與行動裝置的普及化，電子商務間的商品總類、價格競爭、付款方式、運送時間，都納入消費者選擇的必要條件，網路上也出現許多家電子商務價格比較的網站，幫助消費者篩選及推薦電子商務的店家與商品類型。各家比價網篩選電子商務的商品機制都有所不同，這些都會影響消費者在商品搜尋的速度與精準度。

本研究透過資訊檢索演算法 BM25 (Best Match) 加以改良導入商品名稱，以權重方式分配，將搜尋關鍵字斷詞處理，匯入網路爬蟲 (Crawler) 抓取到的各電子商務之商品資訊再以名稱做權重分析 ， 依據結果建立的比價系統能提供使用者的一次同時瀏覽多家電子商務同類型商品的資訊 ， 做為商品評選的參考。

由於各大電子商務商品種類眾多且持續更新 ， 所以比價系統的設計方法，使用即時取得商品資訊及運算做為主要平台，配合應用動態網頁技術 (JSP) 應用在伺服器網站架設 (Tomcat) 與伺服器端程序分配技術 (Servlet)，有效分配商品名稱權重與商品價格排序。

本研究針對市面上知名的比價網做商品搜精準度之對照，以3C類型比較4種商品做「搜尋精準度」、「價格遞增精準度」、「價格遞減精準度」，比價檢視12 (4*3) 項的結果，有8項勝出、2項平手、2項落後。

With the prevalence of the Internet and mobile devices, physical channels have been replaced by e-commerce, whose product type, price competition, payment methods, and delivery time are prerequisite to consumers’ purchasing choices. The appearance of many e-commerce price comparison websites helps consumers to screen and commends e-commerce stores and product types. Every price comparison websites differ in mechanism for screening e-commerce products, thus influencing the speed and accuracy of product searching.
This study improves the information retrieval algorithm BM25 (Best Match) by adding in product name weighing. Search keywords were segmented and imported to Crawler to retrieve e-commerce product information and then to implement weighing analysis based on product names. After relevant analysis, the search result enabled users to browse products of the same type from multiple e-commerce stores. Since e-commerce product types have been diverse and have kept being updated, the price comparison system design was based on real-time retrieval and processing of product information. With JSP applied to Tomcat and Servlet for efficient allocation of product name weighing and of product price ranking. The experiment focused on the speed and accuracy of product search among famous price comparison websites, with four types of 3C products adopted as comparison keywords. With four types of 3C products employed to compare the rankings of search accuracy, progressive price increase accuracy, and progressive price decrease accuracy, the price comparison system adopted in the study, out of 12 price comparisons, demonstrated eight wins, 2 ties, and 2 losses.

目錄
書名頁…………………………………………………………………………………………i
論文口試委員審定書………………………………………………………………ii
授權書…………………………………………………………………………………………iii
中文摘要………………………………………………………………………………………iv
英文摘要………………………………………………………………………………………vi
誌謝………………………………………………………………………………………………viii
目錄………………………………………………………………………………………………ix
表目錄……………………………………………………………………………………………xi
圖目錄……………………………………………………………………………………………xii
第一章 緒論…………………………………………………………………………………1
1.1 研究背景與動機…………………………………………………………………1
1.2 研究目的………………………………………………………………………………3
1.3 研究問題………………………………………………………………………………3
1.4 研究流程與各章節說明……………………………………………………4
第二章 文獻探討…………………………………………………………………………6
2.1 比價網相關研究…………………………………………………………………6
2.2 資訊檢索演算法(IR) ……………………………………………………7
2.2.1 BM25 (Best Match)權重分配…………………………7
2.2.2 BM25流程圖介紹………………………………………………………9
2.2.3 BM25改良加權分配…………………………………………………10
2.3 電子商務廠商分析……………………………………………………………10
2.4 現有比價網功能介紹………………………………………………………11
2.5 系統測試方法介紹 …………………………………………………………11
2.6 響應式網站設計對比價網站的影響………………………………12
2.6.1 響應式網站設計(RWD)與一般網頁設計差異…………13
2.7 現有比價網功能介紹…………………………………………………………15
第三章 研究方法…………………………………………………………………………16
3.1 比價系統功能開發………………………………………………………………16
3.2 系統流程………………………………………………………………………………18
3.2.1 系統即時分配運算架構………………………………………………18
3.3 資料來源………………………………………………………………………………19
3.3.1 Yahoo購物中心……………………………………………………………21
3.3.2 PChome 24H 購物網…………………………………………………22
3.3.3 UDN購物網………………………………………………………………………23
3.3.4 商品關鍵字名稱轉換……………………………………………………24
3.3.5 商品數量深度抓取…………………………………………………………25
3.4 BM25演算法權重分配…………………………………………………………25
3.4.1 BM25改良加權分配………………………………………………………27
3.5 行動裝置與電腦瀏覽…………………………………………………………27
3.6 系統測試………………………………………………………………………………29
3.6.1 測試人員來源…………………………………………………………………31
3.6.2 測試資料計算…………………………………………………………………31
第四章　研究結果與分析……………………………………………………………32
4.1 資料描述………………………………………………………………………………32
4.1.1 比價商品資料來源…………………………………………………………32
4.1.2 BM25演算法設計……………………………………………………………33
4.1.3 商品精準度驗證－筆電清潔…………………………………………33
4.1.4 商品精準度驗證－藍芽無線滑鼠………………………………35
4.1.5 商品精準度驗證－ASUS手機保護殼…………………………36
4.1.6 商品精準度驗證－3.5吋硬碟外接盒………………………38
4.2 比價網精準度總結………………………………………………………………39
4.2.1 比價網商品搜尋畫面……………………………………………………40
4.3 測試人員使用評分………………………………………………………………47
第五章　討論…………………………………………………………………………………48
5.1 研究發現………………………………………………………………………………48
5.1.1 資訊檢索演算法BM25改良結論…………………………………49
5.1.2 系統開發設計…………………………………………………………………50
5.1.3 UI設計風格……………………………………………………………………50
5.2 研究貢獻………………………………………………………………………………51
5.2.1 市場面………………………………………………………………………………51
5.2.2 技術面………………………………………………………………………………51
5.3 研究限制與未來研究…………………………………………………………52
5.3.1 比價網限制………………………………………………………………………52
5.3.2 比價網站未來研究…………………………………………………………52
5.4 比價網站未來趨勢………………………………………………………………53
參考文獻……………………………………………………………………………………………54

中文文獻

崔春生(民104）。基於vague集的網上機票比價研究。系統工程理論與實踐，35（2），437-444。

魏強、金芝、許焱(民103)。基於機率主題模型的物連網服務發現。軟件學報，25(8)，1640-1658。

羅濟群、陳志華、高湘婷、程鼎元、呂志健(民98)。智慧型行動式服務商品評鑑服務推薦系統之設計與實作。工商管理學刊，5(1)，33-42。

陳柏璋(民104)。運用文字探勘技術與行動載具進行個人化旅館的推薦系統。


英文文獻

Bodur, H. O., Klein, N. M., & Arora, N. (2015). Online Price Search: Impact of Price Comparison Sites on Offline Price Evaluations. Journal of Retailing, 91(1), 125-139

Bodur, H. O., Klein, N. M., & Arora, N. (2015). Online Price Search: Impact of Price Comparison Sites on Offline Price Evaluations. Journal of Retailing, 91(1), 125-139

Chaehoon, P., & In So, K. (2008). Product search framework with categorization and identification. Paper presented at the Control, Automation and Systems, 2008. ICCAS 2008. International Conference on.

Chen, C. W., & Cheng, P. J. (2010). Title- Based Product Search–Exemplified in a Chinese E-commerce Portal. In Asia Information Retrieval Symposium. Springer Berlin Heidelberg, 25-36

Derhami, V., Khodadadian, E., Ghasemzadeh, M., & Bidoki, A. M. Z. (2013). Applying reinforcement learning for web pages ranking algorithms. Applied Soft Computing, 13(4), 1686-1692.

Di Buccio, E., & Di Nunzio, G. M. (2013). Are There New BM25 Expectations? Paper presented at the IIR.

Foley, J., Bendersky, M., & Josifovski, V. (2015). Learning to extract local events from the web. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 423-432.

Jianxia, C., & Ri, H. (2013). A price comparison system based on Lucene. Paper presented at the Computer Science & Education (ICCSE), 2013 8th International Conference on.

Kameshwaran, S., & Benyoucef, L. (2008). Optimal buying from online retailers offering total value discounts. Paper presented at the Proceedings of the 10th international conference on Electronic commerce, Innsbruck, Austria.

Khan, S., & Mustafa, J. (2014). Effective semantic search using thematic similarity. Journal of King Saud University-Computer and Information Sciences, 26(2), 161-169.

Kim, J. W., & Ha, S. H. (2014). Price Comparisons on the Internet Based on Computational Intelligence. PloS one, 9(9), e106946.


Lee, S.-C., Kim, S.-W., & Park, S. (2015). A Graph-Based Recommendation Framework for Price-Comparison Services. Paper presented at the Proceedings of the 24th International Conference on World Wide Web, Florence, Italy.

Li, B., Ghose, A., & Ipeirotis, P. G. (2011). A demo search engine for products. Paper presented at the Proceedings of the 20th international conference companion on World wide web.

Ma, Z., Liao, K., & Lee, J. J.-Y. (2010). Examining Comparative Shopping Agents from Two Types of Search Results. Information Systems Management, 27(1), 3-9. doi: 10.1080/10580530903455072

Nebeling, M., Speicher, M., & Norrie, M. C. (2013, June). CrowdAdapt: enabling
crowdsourced web page adaptation for individual viewing conditions and preferences. In Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing system, 23-32.
Passyn, K. A., Diriker, M., & Settle, R. B. (2013). Price comparison, price competition, and the effects of shopbots. Journal of Business & Economics Research, 11(9), 401.

Robertson, S.E., & Sparck Jones, K.(1994). Simple, proven approaches to text retrieval. Technical report 356, Computer Laboratory, University of Cambridge.

Ronayne, D. (2015). Price Comparison Websites. Warwick Economics Research Paper Series 1056.

Siham, E. K., Schlereth, C., & Skiera, B. (2012). Price comparison for infrastructure-as-a-service. European Conference on Information Systems, Barcelona, Spain.


Sivic, J., & Zisserman, A. (2009). Efficient visual search of videos cast as text retrieval. IEEE transactions on pattern analysis and machine intelligence, 31(4), 591-606.

Trotman, A., Puurula, A., & Burgess, B. (2014). Improvements to BM25 and Language Models Examined. Paper presented at the Proceedings of the 2014 Australasian Document Computing Symposium, 58-65.

Vandic, D., & Milea, V. (2013). Semantic Web-Based Product Search. In Advances in Conceptual Modeling. Springer International Publishing, 150-159.

Wu, H., Hu, Y., Li, H., & Chen, E. (2015). A new approach to query segmentation for relevance ranking in web search. Information Retrieval Journal, 18(1), 26-50.

Zin, T. T., Tin, P., Toriu, T., & Hama, H. (2014). A Human Behavior Analyzer Framework for consumer product search engines. In Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on.