The Research Of University Library Resources Recommendation Service Mode Based On SOLOMO

With the development and application of SOLOMO, based on the recommended service of SOLOMO mode research become a hot issue. University library in providing the user with information resources and services at the same time, there are interaction is not fully fit, service and demand is not high, for the inconvenience, and other issues. The library based on SOLOMO can recommend services to meet the personalized recommendation services to users. On the one hand, to better serve the needs of user personalized, differentiated; On the other hand, will help consolidate the user base, improve the level of service of university library, and the promotion of the competitiveness of the library.The research object of this article is based on the SOLOMO mode of university library collection resources recommended. First of all, introduce the research content theoretical basis, including the theory of the concept, characteristics and the core technology. Second, questionnaire investigation, and demand for the current user according to the questionnaire data analysis of the current university library collection resources recommended model and the gap between the user’s actual demand, summed up the current university library collection resources recommended mode exist insufficient interaction, is a service provided by the fit with the user demand is not high, for the inconvenience, is proposed based on SOLOMO mode of university library collection resources recommended. Finally, using Tencent WeChat public platform construction based on SOLOMO mode of university library collection resources recommended public account, through the collection resources recommended, location, navigation, localization, the service functions such as design constructed pattern has the feasibility and effectiveness.Based on SOLOMO library service is the future development direction of library information service. Is proposed in this paper, based on the SOLOMO mode of university library collection resources recommended, using social, localization, mobile elements optimize the recommended service of university library, accelerated the pace of transformation recommended service of the university library. For users to bring convenient, quick, high quality, personalized service at the same time, also brought the increase of effective resource utilization for the university library, the collection resources in colleges and universities recommend service development has a certain meaning.