基于組合模型的農(nóng)業(yè)信息情景感知推薦系統(tǒng)研究
發(fā)布時(shí)間：2018-08-13 10:55
【摘要】：在大數(shù)據(jù)環(huán)境下,農(nóng)戶在互聯(lián)網(wǎng)中獲取指導(dǎo)農(nóng)業(yè)生產(chǎn)的信息更加困難,隨著"一帶一路"國(guó)家發(fā)展戰(zhàn)略的全面展開(kāi),廣大農(nóng)民對(duì)農(nóng)業(yè)信息服務(wù)的需求有增無(wú)減。針對(duì)傳統(tǒng)推薦系統(tǒng)不能反映用戶興趣遷移、推薦精度不高等問(wèn)題,提出來(lái)基于組合模型的農(nóng)業(yè)信息推薦系統(tǒng),提高農(nóng)業(yè)信息推薦的自適應(yīng)性和準(zhǔn)確性。系統(tǒng)結(jié)合云計(jì)算技術(shù)提出一種基于Hadoop+Nutch的全網(wǎng)農(nóng)業(yè)信息數(shù)據(jù)倉(cāng)庫(kù)構(gòu)建方法,通過(guò)納入時(shí)間權(quán)重、情景變更和興趣遷移的優(yōu)化向量空間模型構(gòu)建了自適應(yīng)性的用戶興趣模型,以及借助組合神經(jīng)網(wǎng)絡(luò)提高推薦精度提出了組合推薦算法。最后通過(guò)評(píng)價(jià)召回率、準(zhǔn)確率等指標(biāo)表明,基于組合模型的推薦系統(tǒng)可大幅提高推薦準(zhǔn)確性和魯棒性。
[Abstract]:Under the environment of big data, it is more difficult for farmers to obtain the information to guide agricultural production on the Internet. With the development of the "Belt and Road" national development strategy, the farmers' demand for agricultural information services is increasing. Aiming at the problems that the traditional recommendation system can not reflect the user's interest transfer and the recommendation accuracy is not high, the agricultural information recommendation system based on the combination model is put forward to improve the adaptability and accuracy of the agricultural information recommendation. Combined with cloud computing technology, the system proposes a method of constructing agricultural information data warehouse based on Hadoop Nutch. An adaptive user interest model is constructed by taking into account the time weight, scenario change and interest transfer optimization vector space model. A combined recommendation algorithm is proposed to improve the accuracy of recommendation by means of combinatorial neural networks. Finally, by evaluating the recall rate and the accuracy rate, it is shown that the recommendation system based on the combination model can greatly improve the accuracy and robustness of the recommendation.
【作者單位】： 中國(guó)農(nóng)業(yè)科學(xué)院農(nóng)業(yè)經(jīng)濟(jì)與發(fā)展研究所;中國(guó)農(nóng)業(yè)科學(xué)院農(nóng)業(yè)環(huán)境與可持續(xù)發(fā)展研究所;
【基金】：中國(guó)農(nóng)業(yè)科學(xué)院科技創(chuàng)新工程(編號(hào):ASTIP-IAED-2016-03) 農(nóng)業(yè)水生產(chǎn)力與水環(huán)境創(chuàng)新團(tuán)隊(duì)項(xiàng)目
【分類號(hào)】：S126;TP391.3
本文編號(hào)：2180764
[Abstract]:Under the environment of big data, it is more difficult for farmers to obtain the information to guide agricultural production on the Internet. With the development of the "Belt and Road" national development strategy, the farmers' demand for agricultural information services is increasing. Aiming at the problems that the traditional recommendation system can not reflect the user's interest transfer and the recommendation accuracy is not high, the agricultural information recommendation system based on the combination model is put forward to improve the adaptability and accuracy of the agricultural information recommendation. Combined with cloud computing technology, the system proposes a method of constructing agricultural information data warehouse based on Hadoop Nutch. An adaptive user interest model is constructed by taking into account the time weight, scenario change and interest transfer optimization vector space model. A combined recommendation algorithm is proposed to improve the accuracy of recommendation by means of combinatorial neural networks. Finally, by evaluating the recall rate and the accuracy rate, it is shown that the recommendation system based on the combination model can greatly improve the accuracy and robustness of the recommendation.
【作者單位】： 中國(guó)農(nóng)業(yè)科學(xué)院農(nóng)業(yè)經(jīng)濟(jì)與發(fā)展研究所;中國(guó)農(nóng)業(yè)科學(xué)院農(nóng)業(yè)環(huán)境與可持續(xù)發(fā)展研究所;
【基金】：中國(guó)農(nóng)業(yè)科學(xué)院科技創(chuàng)新工程(編號(hào):ASTIP-IAED-2016-03) 農(nóng)業(yè)水生產(chǎn)力與水環(huán)境創(chuàng)新團(tuán)隊(duì)項(xiàng)目
【分類號(hào)】：S126;TP391.3
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