latent vector 中文意思是什麼
latent vector
解釋
本嶄量-
In order to solve the problem that current search engines provide query - oriented searches rather than user - oriented ones, and that this improper orientation leads to the search engines ' inability to meet the personalized requirements of users, a novel method based on probabilistic latent semantic analysis ( plsa ) is proposed to convert query - oriented web search to user - oriented web search. first, a user profile represented as a user ' s topics of interest vector is created by analyzing the user ' s click through data based on plsa, then the user ' s queries are mapped into categories based on the user ' s preferences, and finally the result list is re - ranked according to the user ' s interests based on the new proposed method named user - oriented pagerank ( uopr ). experiments on real life datasets show that the user - oriented search system that adopts plsa takes considerable consideration of user preferences and better satisfies a user ' s personalized information needs
針對當前的搜索引擎提供面向查詢、而非面向用戶的服務，從而導致搜索引擎無法滿足用戶個性化的需求這一問題，提出了一種基於plsa的新方法，將面向查詢詞的搜索轉變成面向用戶的搜索.首先，通過分析用戶查詢歷史和瀏覽記錄建立代表用戶模型的用戶興趣向量，在用戶發出查詢時用戶的查詢詞根據用戶興趣向量被映射到興趣分類上，最終根據面向用戶排序演算法將返回結果列表重新排序.實驗表明該面向用戶搜索系統能夠充分考慮用戶的偏好，從而更好地滿足不同用戶的信息需求 -
This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word - document matrix. in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word - splitting and the algorithm of k - means. this paper presents a improved structure of electronic dictionary and a improved algorithm of word - spliting
本文對潛在語義索引模型進行系統的研究和探討，包括奇異值分解等相關矩陣理論、詞-文檔矩陣等；同時本文研究和探討了潛在語義索引模型在中文文本聚類中的具體應用和實現，包括文本間相似度的度量、詞-文檔矩陣、奇異值分解的具體實現；同時本文對中文文本聚類所涉及的其他一些中文處理技術，包括向量空間模型、電子字典、切詞、 k - means聚類演算法等也進行了研究和探討。
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