00484nas a2200145   4500008004100000245005700041210005700098260000900155653000800164653002300172100001500195700001800210700001300228856009700241       2017                        eng d00aBEHAVIOR THEORY ENABLED GENDER CLASSIFICATION METHOD0 aBEHAVIOR THEORY ENABLED GENDER CLASSIFICATION METHOD  c201710aBIS10aBusiness Analytics1 aWang, Jing1 aYan, Xiangbin1 aZhu, Bin  u/biblio/behavior-theory-enabled-gender-classification-method01798nas a2200181   4500008004100000245007500041210006800116260000900184300001400193490000700207520122500214653000801439653002301447100001201470700001801482700001301500856010301513       2014                        eng d00aThe Hl-index: Improvement of H-index Based on Quality of Citing Papers0 aHlindex Improvement of Hindex Based on Quality of Citing Papers  c2014  a1021-10310 v983 aThis paper proposes hl-index as an improvement of the h-index, a popular measurement for the research quality of academic researchers. Although the h-index integrates the number of publications and the academic impact of each publication to evaluate the productivity of a researcher, it assumes that all papers that cite an academic article contribute equally to the academic impact of this article. This assumption, of course, could not be true in most times. The citation from a well-cited paper certainly brings more attention to the article than the citation from a paper that people do not pay attention to. It therefore becomes important to integrate the impact of papers that cite a researcher’s work into the evaluation of the productivity of the researcher. Constructing a citation network among academic papers, this paper therefore proposes hl-index that integrating the h-index with the concept of lobby index, a measures that has been used to evaluate the impact of a node in a complex network based on the impact of other nodes that the focal node has direct link with. This paper also explores the characteristics of the proposed hl-index by comparing it with citations, h-index and its variant g-index.10aBIS10aBusiness Analytics1 aZai, Li1 aYan, Xiangbin1 aZhu, Bin  u/biblio/hl-index-improvement-h-index-based-quality-citing-papers-001181nas a2200157   4500008004100000245008100041210006900122260000900191520069300200653000800893653002300901100001300924700001800937700001500955856005300970       2013                        eng d00aGender Classification for Product Reviewers in China: A Data-Driven Approach0 aGender Classification for Product Reviewers in China A DataDrive  c20133 aWhile it is crucial for organizations to automatically identify the gender of participants in product discussion forums, they may have difficulties adopting existing gender classification methods because the associations between the linguistic features used in those studies and gender type usually varies with context. The prototype system we propose to demo validates a framework for the development of gender classification that uses a more “data-driven” approach. It constantly extracts content-specific features from the discussion content. And the system could automatically adjust itself to accommodate the contextual changes in order to achieve better classification accuracy.10aBIS10aBusiness Analytics1 aZhu, Bin1 aYan, Xiangbin1 aWang, Jing  uhttp://www.som.buffalo.edu/isinterface/wits2013/