本文關(guān)鍵詞： 個(gè)性化搜索 用戶模型 語義挖掘 用戶語境　出處：《計(jì)算機(jī)科學(xué)》2016年02期 　論文類型：期刊論文

【摘要】：搜索引擎的一個(gè)標(biāo)準(zhǔn)是不同的用戶用相同的查詢條件檢索時(shí),返回的結(jié)果相同。為解決準(zhǔn)確性問題,個(gè)性化搜索引擎被提出,它可以根據(jù)用戶的不同個(gè)性化特征提供不同的搜索結(jié)果。然而,現(xiàn)有的方法更注重用戶的長(zhǎng)時(shí)記憶和獨(dú)立的用戶日志文件,從而降低了個(gè)性化搜索的有效性。獲取用戶短時(shí)記憶模型來提供準(zhǔn)確有效的用戶偏好的個(gè)性化搜索方法被廣泛采用。首先,根據(jù)基于查詢關(guān)鍵詞的相關(guān)概念生成短期記憶模型;接著,基于用戶的時(shí)序有效點(diǎn)擊數(shù)據(jù)生成用戶個(gè)性化模型;最后,在用戶會(huì)話中引入了遺忘因子來優(yōu)化用戶個(gè)性化模型。實(shí)驗(yàn)結(jié)果表明,所提出的方法可以較好地表達(dá)用戶信息需求,較為準(zhǔn)確地構(gòu)建用戶的個(gè)性化模型。
[Abstract]:One standard of search engines is that different users return the same results when they use the same query conditions. To solve the problem of accuracy, personalized search engines are proposed. It can provide different search results according to the individual characteristics of the user. However, the existing methods focus more on the user's long-term memory and independent user log files. In order to reduce the effectiveness of personalized search, the personalized search method which acquires user short-term memory model to provide accurate and effective user preference is widely used. Firstly, short-term memory model is generated according to the related concepts based on query keywords. Then, the user personalization model is generated based on the user's time series effective click data. Finally, the forgetting factor is introduced into the user session to optimize the user personalization model. The experimental results show that, The proposed method can better express the user's information requirements and build the user's personalized model more accurately.
【作者單位】： 華東政法大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)系;清華大學(xué)公共安全研究院;
【基金】：國(guó)家社會(huì)科學(xué)基金項(xiàng)目(06BFX051) 國(guó)家自然科學(xué)基金(6130202) 上海高校選拔培養(yǎng)優(yōu)秀青年教師科研專項(xiàng)基金(hzf05046)資助
【分類號(hào)】：TP391.3

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