本文關(guān)鍵詞：基于改進(jìn)決策樹算法的網(wǎng)絡(luò)關(guān)鍵資源頁面判定，，由筆耕文化傳播整理發(fā)布。

1000-9825/2005/16111958 ?2005 Journal of Software 軟 件 學(xué) 報(bào) Vol.16, No.11基于改進(jìn)決策樹算法的網(wǎng)絡(luò)關(guān)鍵資源頁面判定 + 劉奕 群 , 張 敏 , 馬少 平 智能技術(shù)與系 統(tǒng)國家重點(diǎn)實(shí) 驗(yàn)室 清華 大學(xué) ,北京 100084 Web Key Resource Page Judgment Based on Improved Decision Tree Algorithm + LIU Yi-Qun , ZHANG Min, MA Shao-Ping State Key Laboratory of Intelligent Technology and Systems Tsinghua University, Beijing 100084, China + Corresponding author: Phn: +86-10-62777699, E-mail: liuyiqun03@, ://max.book118.com Received 2004-07-26; Accepted 2005-06-02 Liu YQ, Zhang M, Ma SP. Web key resource page judgment based on improved decision tree algorithmJournal of Software, 2005,1611:1958?1966. DOI: 10.1360/jos161958 Abstract: Key resource page is one of the most important search target pages for Web search users. Decision tree learning is one of the most widely-used and practical methods for inductive inference in machine learning. Because of the difficulty in uniform sampling of Web pages, there are not enough negative instances for training a key resource decision tree. To solve the problem, the original algorithm is partly modified to learn from global instead of individual instance information. With the same evaluation method as TREC Text Retrieval Conference 2003, large scale retrieval experiments based on improved decision tree algorithm achieves more than 40% improvement than the ones based on the original algorithm. It not only offers an effective way for selecting Web key resource pages, but also shows a possible way to improve decision tree learning performancesKey words: Web information retrieval; key resource page; machine learning; decision tree : 關(guān) 鍵資源 頁面是 網(wǎng)絡(luò)信息 環(huán)境中 一 種 重 要 的 高 質(zhì) 量 頁 面 ,是 用戶進(jìn) 行網(wǎng)絡(luò)信 息檢索 的主要 目 標(biāo)決策 樹算 法是 機(jī)器 學(xué)習(xí) 中應(yīng) 用最 廣的 歸納 推理 算法 之一

  本文關(guān)鍵詞：基于改進(jìn)決策樹算法的網(wǎng)絡(luò)關(guān)鍵資源頁面判定，由筆耕文化傳播整理發(fā)布。