01682nas a2200265   4500008004100000245008800041210006900129260000900198300001400207490000700221520088800228653001601116653001601132653001801148653001201166653001701178653002001195653001101215100001201226700001701238700001801255700001301273700001301286856011701299       2012                        eng d00aInvestigating factors influencing non-use and abandonment of microblogging services0 aInvestigating factors influencing nonuse and abandonment of micr  c2012  a421 - 4290 v103 aThis 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' 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.10aAbandonment10aFocus Group10aMicroblogging10aNon-use10aSocial media10aSocial networks10aSurvey1 aGuo, Y.1 aGoh, D.H.-L.1 aIlangovan, K.1 aJiao, S.1 aYang, X.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84874905735&partnerID=40&md5=087e167bd1bd9f4c37ad9988561e5f6901955nas a2200181   4500008004100000245009200041210006900133260000900202300001400211490000700225520135400232653001301586653002101599653001201620100001201632700001201644856011701656       2012                        eng d00aResearch and analysis of improved extraction based on information processing technology0 aResearch and analysis of improved extraction based on informatio  c2012  a142 - 1460 v103 aThis 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.10aAnalysis10aNatural language10aSeminar1 aWei, Y.1 aGuo, Y.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84866466102&partnerID=40&md5=408ac5cc2bfbffd4fed15d3005d825c201986nas a2200229   4500008004100000245010800041210006900149260000900218300001400227490000600241520120300247653002801450653002401478653002301502653002401525653002401549653003001573100001101603700001301614700001201627856011701639       2011                        eng d00aFusion user browsing behavior and user interests autonomous control of personalized search results sort0 aFusion user browsing behavior and user interests autonomous cont  c2011  a271 - 2750 v93 aReference simplifies the ODP concept, establish a user hierarchical structure can be controlled autonomously interest preference expression of use interests model. Meanwhile, from the user's browsing behavior can reflect the user's interest in starting, this paper analyzes the relationship between the user'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'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.10aDegree of User Interest10aPersonalized Search10aPrivacy protection10aSort Search Results10aUser Interest Model10aUser's Browsing Behaviors1 aLi, J.1 aWang, H.1 aGuo, Y.  uhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84855413177&partnerID=40&md5=42962ce43dcfb6f7b617b32ec5cecdcd