At present, China’s tourism market is huge, and traditional hotel accommodation is not popular with young people, and homestays are just in line with young people’s yearning. And most of the current push methods are determined by consumption on large platforms such as Ctrip, which not conforms to the recommendation method of homestays, so it aims at personalized marketing research for homestays. In this paper, the multi-information fusion sensor network is used to push B&B hotels in tourist areas to achieve B&B hotel marketing and maximize profits. Using the multi-information fusion sensor network to carry out personalized platform design, platform users can easily and quickly search for the homestay they want and can realize the automatic push function to achieve the rationality of marketing. The experimental results in this paper found that the average relative speedup increased from 1.9 to 17.7 for the execution of the scoring-oriented algorithm in the algorithm compared to a single computer. Performing the sort-oriented algorithm in the algorithm, the average relative speedup increased from 1.9 to 18.8. It can illustrate the effectiveness of the design system in this paper, and the software can carry out personalized marketing for homestays.

With the rapid development and application of internet technology, people are gradually entering a state of digital life. However, it is difficult for digital assets to be circulated with a unified standard protocol. Blockchain has the characteristics of decentralization, trustworthiness, and immutability, which can be used to solve the above problems. Although virtual marketing technology shows great potential, as a form of organization that is difficult to manage, there is still a lack of experience in the form factors and operation mechanism of a virtual business model. Therefore, combined with the realistic background, this paper built a digital twin innovation and entrepreneurship virtual marketing interactive platform based on blockchain. The article analyzed the data structure of the blockchain and completed the construction of the platform operation mode. It studied the encryption and decryption process of cryptography and expanded the ciphertext space, then the blockchain is encrypted and decrypted again, and finally, a chi-square analysis is performed. After building the platform, it conducted market research and analyzed the main operating indicators of the A platform on the market. Then, it compared the uncertain string preprocessing enumeration length change and the index occupied space between the platform constructed in this paper and the platform in the literature. The comparison results have shown that the index proposed in this paper is 320 MB in 8 iterative calculations, while the bibliographic index starts at 10000 MB and keeps increasing during the iterative calculation process. The two are not in the same order of magnitude, illustrating the superiority of the platform in this paper.

The network traffic monitoring and marketing strategy of online music products in the multimedia environment refers to the use of existing multimedia technologies to analyze the environment of the online music industry, accurately locate the needs of product users, and formulate more practical and effective network traffic monitoring and marketing strategies. This paper firstly gives a comprehensive overview of the concept and characteristics of online music and then analyzes the development status of the online music industry. Then, according to the current situation and marketing direction of the industry, three network traffic monitoring and marketing strategies for online music products are proposed. They are marketing strategy based on big data mining, marketing strategy based on new media platform, and marketing strategy based on O2O model. These three network traffic monitoring and marketing strategies all need to rely on the existing multimedia technology. Finally, the effectiveness and practicability of the proposed network traffic monitoring and marketing strategies are analyzed by comparing the network traffic monitoring and marketing strategies of online music products with the traditional marketing strategies in the multimedia environment. The experimental results show that the number of visits to music products under the multimedia environment marketing strategy is 1.2 times that of the traditional marketing strategy, and the download volume is 1.5 times that of the traditional marketing strategy. This has a very good effect on the marketing of online music products.