本文選題：情境搜索 + 個性化搜索　； 參考：《北京郵電大學》2013年碩士論文

【摘要】：傳統(tǒng)的互聯(lián)網(wǎng)搜索在搜索信息結(jié)果的完備上已經(jīng)取得很好的效果,但是很難滿足用戶的個性化需求,無法得到因人而異的搜索結(jié)果,無法根據(jù)用戶所在情境搜索出滿足情境的個性化信息。 本文對情境搜索的關(guān)鍵技術(shù)做了研究。在調(diào)研了國內(nèi)外情境搜索的研究現(xiàn)狀后,發(fā)現(xiàn)大部分的情境搜索只是單一的將位置和時間信息加入到個性化服務中,所以提供的搜索結(jié)果的個性化程度并不高。如果能夠?qū)⒂脩舻纳缃磺榫臣尤氲剿阉饕嬷?并結(jié)合多方面的個性化技術(shù),勢必帶來更具個性化的搜索服務。以此為出發(fā)點,本文從搜索引擎的架構(gòu)和個性化服務的提出入手,調(diào)研了社交網(wǎng)絡分析、擴展查詢、情境獲取以及個性化推薦的相關(guān)技術(shù),給出了基于移動平臺的情境搜索個性化融合建模的構(gòu)思。從主體、客體、主體關(guān)系三個角度為搜索建模,以客體黃頁特征模型和歷史行為為依據(jù)建立用戶興趣模型、以社交關(guān)系為參考建立用戶社交圖譜。在社交圖譜的基礎上為增加搜索結(jié)果的新穎性和可信度,使用基于鄰域的個性化推薦算法相關(guān)技術(shù),增加了來自社交推薦的部分搜索結(jié)果。在以上的建模基礎上,進行線性加權(quán)融合,構(gòu)成情境搜索的融合模型。 然后,本文設計了一個用于移動黃頁平臺的情境搜索系統(tǒng),在系統(tǒng)的設計中將融合模型算法應用到系統(tǒng)設計中,并提出評價情境搜索系統(tǒng)的幾個關(guān)鍵指標。在隨后的實驗數(shù)據(jù)中,從用戶調(diào)查、在線測試以及離線評測三方面對3000個用戶和46萬條相關(guān)黃頁做了大量的測試,論證了融合模型算法在情境搜索系統(tǒng)中的可行性。最后,對本文的研究成果作了總結(jié),提出了當前工作中的不足和下一步應當進行的研究。
[Abstract]:Traditional Internet search has achieved good results on the completion of search information results, but it is difficult to meet the personalized needs of users, and can not get individual search results. It is impossible to search the personalized information to satisfy the situation according to the user's situation. This paper studies the key technologies of situational search. After investigating the current situation of situational search at home and abroad, it is found that most of the situational search only adds location and time information to the personalized service, so the personalized degree of the search results provided is not high. If the user's social situation can be added to the search engine, and many aspects of personalized technology can be combined, it will bring more personalized search service. Starting with the structure of search engine and the proposal of personalized service, this paper investigates the related technologies of social network analysis, extended query, situation acquisition and personalized recommendation. The concept of personalized fusion modeling of situational search based on mobile platform is presented. Based on the object yellow page feature model and historical behavior, the user interest model is established, and the user social map is established based on the social relationship. In order to increase the novelty and reliability of search results, the neighborhood based personalized recommendation algorithm is used to increase the search results from social recommendation. On the basis of the above modeling, linear weighted fusion is carried out to form the fusion model of situational search. Then, this paper designs a situational search system for mobile yellow page platform. In the design of the system, the fusion model algorithm is applied to the system design, and several key indicators for evaluating the situational search system are put forward. In the subsequent experiment data, 3000 users and 460000 related yellow pages were tested from three aspects of user survey, online test and off-line evaluation, which demonstrated the feasibility of the fusion model algorithm in the context search system. Finally, the research results of this paper are summarized, the shortcomings of the current work and the next step should be studied.
【學位授予單位】：北京郵電大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP391.3

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本文編號：2107373