@article {355,
	title = {Investigating factors influencing non-use and abandonment of microblogging services},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {421 - 429},
	abstract = {This study explores the reason for non-usage and abandonment of microblogging. While previous studies mainly focused on individual behaviors associated with the use of social media, this research identifies why people do not use, or terminate their microblogging accounts. Studying the reasons for non-usage and abandonment is important as it helps organizations devise strategies to counteract this behavior by addressing nonusers{\textquoteright} concerns. First, focus group interviews were conducted to uncover non-usage reasons. The elicited reasons were then used to construct a survey instrument and administered. Our results suggests that preference for other technologies, privacy concern and time constraints are the top three reasons contributing to the non-use and abandonment of microblogging accounts. The paper also proposes potential improvements to microblogs to attract more users.},
	keywords = {Abandonment, Focus Group, Microblogging, Non-use, Social media, Social networks, Survey},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84874905735\&partnerID=40\&md5=087e167bd1bd9f4c37ad9988561e5f69},
	author = {Guo, Y. and Goh, D.H.-L. and Ilangovan, K. and Jiao, S. and Yang, X.}
}
@article {311,
	title = {Research and analysis of improved extraction based on information processing technology},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {142 - 146},
	abstract = {This paper analyzes the problem of research topics. The key words are extracted from the academic papers published in the key journals based on information processing technology, and these words have the cooccurrence relationship between clustered. Research topics in the academic field analysis applications, researchers can provide a clear outline; in the information retrieval process, you can help clarify the information needs. We will apply the proposed method to ROCLING seminar papers on the data to extract the important field of computational linguistics research topics. The results show that this method can be applied to the special circumstances of domestic academic field, while taking out the key words in English and Chinese. the word has been said that the field of cluster results can also be an important research topic. These results in a preliminary validation of the method proposed in this paper the feasibility. It can also be found that application of computational linguistics research and practice are closely related, taking out many of the words in the cluster and machine translation, speech processing and information retrieval related to the calculation model in the language, grammar patterns and analysis, broken words and statistical language model type is the calculation is the subject of interest to linguists.},
	keywords = {Analysis, Natural language, Seminar},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84866466102\&partnerID=40\&md5=408ac5cc2bfbffd4fed15d3005d825c2},
	author = {Wei, Y. and Guo, Y.}
}
@article {298,
	title = {Fusion user browsing behavior and user interests autonomous control of personalized search results sort},
	journal = {Journal of Digital Information Management},
	volume = {9},
	year = {2011},
	note = {Export Date: 10 July 2014},
	month = {2011},
	pages = {271 - 275},
	abstract = {Reference simplifies the ODP concept, establish a user hierarchical structure can be controlled autonomously interest preference expression of use interests model. Meanwhile, from the user{\textquoteright}s browsing behavior can reflect the user{\textquoteright}s interest in starting, this paper analyzes the relationship between the user{\textquoteright}s browsing behavior and user interest. Considering both the times of page visiting and the browsing speed for the degree of use interest, as well as the similarity of the page keywords and a single user interest point, the index can be obtained for evaluating whether a page meets the user interest preference. Utilizing it as search results of evaluation indexes, search results sorting. Further analysis under different integrity of user interests of description and different results processing under the way of sorting effect, through individual apiration is decided according to user{\textquoteright}spersonal interest in server-side describe file integrity of, will be willing to disclosure of personal information stored in the search engine server in order to improve the quality of the search results, sensitive personal information retained in local client, reach users privacy protection effect.},
	keywords = {Degree of User Interest, Personalized Search, Privacy protection, Sort Search Results, User Interest Model, User{\textquoteright}s Browsing Behaviors},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855413177\&partnerID=40\&md5=42962ce43dcfb6f7b617b32ec5cecdcd},
	author = {Li, J. and Wang, H. and Guo, Y.}
}
