Research And Implementation Of Personalized Agricultural Production And Marketing Information Matching Recommendation System In The Cloud Computing Environment

At present, there is no effective interrelated, interaction, mutual promotion and mutual restricting the transmission mechanism between our decentralized agricultural production, industrialized big market&big circulation and concentrated agricultural consumption. And the market circulation of agricultural products have many characteristics, such as a lot of links, messy and mass dispersed information, which makes it of great difficulty to capture needed decision support information quickly, timely and accurately, agricultural production and market liquidity mismatch becomes increasingly prominent, and unusual fluctuations have sudden, multiple, concurrent trend.Firstly, This paper describes the background and related research of agricultural marketing and products information matching and outlines relevant theoretical and technical basis, based on the needs analysis carried out on the outline design and detailed design of the system, highlighting the key technologies of the system function modules and specific implementation process such as open source search engine technology, information fusion technology, coordination filtering and sorting technology page etc.. Based on software engineering theory and B/S programming techniques, developed versatile, multi-level, multi-species, agricultural production and marketing information matching network platform to display the whole process of decision-making services, to provide real-time online display of agricultural commodities, supply and demand information publishing and auditing and other services for agricultural producers and consumers, carrying out online inquiry, quotation, negotiations and other business communication and promotion of agricultural products.Based on the analysis of existing agricultural production and marketing information matching recommendation system based on the use of open source search engine, such as Nutch, to collect agricultural market information from the internet to to build a market space data warehouse and data sources, to study and propose user interest model that more suitable for agriculture-related objects and more suitable for agricultural production and marketing docking combination push algorithm. Meanwhile in the cloud computing environment, improved the existing agricultural production and marketing information matching recommendation system, and deployed on Hadoop distributed platform to solve bottlenecks such as limited storage space and computational efficiency analysis, making it more suitable for China’s agricultural production and marketing information system to provide support for agricultural production and circulation spending to support management decisions. Finally, the recall and precision indicators of system are done a comparative analysis to prove its effectiveness and practical range.The system is for agricultural production and marketing to ensure that the information on agricultural production are complete acquisition timely and updated, while allowing the matching efficiency and accuracy has improved significantly. This system provided an effective solution for obtain needed agricultural production and marketing information on the Internet to reduce the cost of agricultural marketing and to solve the problem of difficulty in selling agricultural products.