本文選題：用戶描述 + 本體構(gòu)建��； 參考：《華南理工大學(xué)》2016年碩士論文

【摘要】：隨著移動(dòng)互聯(lián)網(wǎng)和電子商務(wù)業(yè)務(wù)的興起,網(wǎng)絡(luò)信息資源的種類和數(shù)量也開始呈指數(shù)增長。面對(duì)海量的網(wǎng)絡(luò)數(shù)據(jù)和信息資源,如何發(fā)現(xiàn)這些數(shù)據(jù)之間存在的關(guān)聯(lián),發(fā)現(xiàn)用戶的真實(shí)需求,以及在這些數(shù)據(jù)中甄別出對(duì)用戶有效的數(shù)據(jù),是當(dāng)前個(gè)性化信息推薦的關(guān)鍵。此外,用戶在移動(dòng)互聯(lián)網(wǎng)下對(duì)信息的需求具有高度的情境敏感性,因此,如何將信息資源精準(zhǔn)地推薦給處于不同情境下的用戶已經(jīng)成為個(gè)性化信息服務(wù)的研究新趨勢(shì)。以用戶為中心的個(gè)性化信息服務(wù)首先需要將用戶以及用戶的信息需求描述清楚,傳統(tǒng)的個(gè)性化信息服務(wù)中主要把用戶需求信息大體分為感興趣和不感興趣的,沒有考慮用戶行為中各個(gè)不同要素之間的內(nèi)在聯(lián)系對(duì)信息需求的影響。本體作為一種能在語義和知識(shí)層次上描述用戶行為概念的結(jié)構(gòu)化語言,它能夠明確地描述領(lǐng)域涉及的概念、概念的含義、概念之間的關(guān)系,清楚地將用戶以及用戶的信息需求準(zhǔn)確表達(dá)。本文將移動(dòng)網(wǎng)絡(luò)環(huán)境下變化的用戶情境作為一個(gè)影響用戶信息需求的變量納入到用戶的個(gè)性化信息服務(wù)。在探討用戶情境對(duì)商品信息需求的影響基礎(chǔ)上,結(jié)合本體的優(yōu)勢(shì)來構(gòu)建用戶情境本體模型。模型能將用戶情境中各個(gè)要素之間、用戶情境與商品信息之間以及用戶與用戶之間的關(guān)系清楚的表達(dá)出來,為個(gè)性化信息服務(wù)提供前提基礎(chǔ)。文章在構(gòu)建用戶情境本體的基礎(chǔ)上提出一種基于用戶情境本體相似的個(gè)性化商品信息服務(wù)模型。從信息服務(wù)角度出發(fā),方法實(shí)現(xiàn)了對(duì)商品信息系統(tǒng)中商品資源數(shù)據(jù)的標(biāo)準(zhǔn)化,并利用本體構(gòu)建規(guī)范商品信息的應(yīng)用;從用戶信息需求角度出發(fā),該模型融入了用戶的情境,將用戶情境本體化,更恰當(dāng)?shù)乇磉_(dá)了用戶對(duì)商品信息的需求,從而能夠?yàn)橛脩籼峁└邆�(gè)性化的信息服務(wù)。在為用戶提供個(gè)性化的商品信息服務(wù)方面,文章提出了情境本體相似度推薦算法,通過計(jì)算當(dāng)前用戶綜合情境本體與用戶情境本體庫中的源用戶情境本體之間的相似度,得出與目標(biāo)用戶情境本體相似的源用戶,將源用戶所消費(fèi)過的商品信息推薦給目標(biāo)用戶,最終達(dá)到實(shí)現(xiàn)用戶個(gè)性化信息服務(wù)的目的。最后本文以餐飲類的商品消費(fèi)數(shù)據(jù)為例,采用Protégé進(jìn)行用戶情境本體的實(shí)例構(gòu)建,并使用基于用戶情境本體相似的方法實(shí)現(xiàn)用戶的個(gè)性化商品信息服務(wù)。
[Abstract]:With the rise of mobile internet and e-commerce, the types and quantity of network information resources are increasing exponentially. In the face of massive network data and information resources, how to discover the relationship between these data, discover the real needs of users, and identify the effective data from these data is the key to the current personalized information recommendation. In addition, users' needs for information under the mobile Internet have a high situational sensitivity. Therefore, how to accurately recommend information resources to users in different situations has become a new research trend of personalized information services. The user-centered personalized information service needs to describe the user and their information requirements clearly. The traditional personalized information service mainly divides the information of user requirements into interested and uninterested. The influence of different elements of user behavior on information demand is not considered. As a structured language, ontology can describe the concept of user behavior at the semantic and knowledge levels. It can clearly describe the concepts involved in the domain, the meaning of concepts, and the relationship between concepts. Clearly express users and their information needs. In this paper, the changing user situation in mobile network environment is incorporated into the personalized information service of the user as a variable that affects the information demand of the user. Based on the discussion of the influence of user situation on commodity information demand, the user context ontology model is constructed by combining the advantages of ontology. The model can clearly express the relationship between the elements in the user situation, between the user situation and the commodity information, and between the user and the user, which provides the premise for the personalized information service. This paper presents a personalized commodity information service model based on the similarity of user context ontology. From the point of view of information service, the method realizes the standardization of commodity resource data in commodity information system, and uses ontology to construct the application of standardizing commodity information, and from the point of view of user's information demand, the model is integrated into the user's situation. The ontology of user context can express the user's demand for commodity information more appropriately, so that it can provide users with more personalized information service. In the aspect of providing personalized commodity information service for users, this paper proposes a similarity recommendation algorithm of situational ontology. By calculating the similarity between the current user's comprehensive situational ontology and the source user's situational ontology in the user's situational ontology library, the similarity between the user's comprehensive situational ontology and the source user's situational ontology is calculated. The source user who is similar to the target user context ontology is obtained, and the commodity information consumed by the source user is recommended to the target user. Finally, the user personalized information service is achieved. Finally, taking the consumption data of food and beverage as an example, Prot 茅 g 茅 is used to construct the user context ontology, and the method based on the similarity of user situation ontology is used to realize the personalized commodity information service.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：F724.6;F274

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本文編號(hào)：1862995