New media platforms, including the network community, microblogging, WeChat, live show platform, have become the main platforms and channels for information dissemination and diffusion, at the same time, these platforms are also favored by the majority of merchants, and how to use these new media platforms for precise marketing is an urgent problem. This paper proposes a precise marketing algorithm based on topic community discovery, which can use the link relation between user and user and the user generated content to determine the user's community division, then the merchants can put different advertising content for different topic community. The algorithm uses the LDA algorithm to analyze the text information in the user-generated content, and analyzes the link relation between the user and the user through the classical community discovery method, and combines the community structure to discover the network structure. These topic communities are the basis of network precise marketing. Extensive experiments are done using real world data, which prove that the algorithm proposed in this paper can effectively use the user topic and user link relationship to find the topic community, thus providing the basis for precise marketing.

Traditional databases manage only deterministic information, but now many applications that use databases involve uncertain data. For example, it is infeasible for a sensor database to contain only the exact value of each sensor at all points in time. The uncertainty is inherent in these systems due to measurement and sampling errors, and resource limitations. This paper aims at the query processing algorithm of twig patterns on probabilistic XML documents. The existing algorithms evaluate twig patterns in a traversal way. The main shortcoming of this way is scanning the whole probabilistic XML document to get the final results. In this paper, we first represent a probabilistic XML document in the form of probabilistic tag streams and then match them in a holistic way. Extensive experiments are conducted and show that the proposed holistic way has the higher performance than the traversal way.