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产品特征与用户特征间对应关系——以游戏产品为例

Corresponding relationship between product features and user——games for example
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摘要 在"互联网+"时代,对于任何产品而言运营人员都需要花更多的时间与精力来研究目标用户群,分析目标用户的喜好。清晰把握什么样的用户在使用什么样的产品,根据用户喜好设计产品显得尤为重要。研究通过拆解产品元素将不同产品统一量化,其次建立各类用户特征与产品偏好的关联,继而将用户对于的产品偏好转化到具体的产品元素偏好中。最终,对比各类用户的游戏元素偏好得到不同用户的游戏喜好为游戏开发与运营人员提供决策依据。 In the era of "Internet +", for any product operating personnel need to spend more time and energy to study the target user group, analyzing the user preferences. Clear grasp what kind of products, users in the use of it is particularly important to design the product according to user's preferences. Research by unified quantify different products to disassemble the product element, the second set up all kinds of user characteristics associated with product preferences, and then the user preference to products into specific preference of product elements. In the end, the comparison of various kinds of game elements of user preferences for different users of the game preferences for game development and operation of personnel to provide decision-making basis.
出处 《信息技术与信息化》 2015年第11期142-145,共4页 Information Technology and Informatization
关键词 用户特征 数据分析 产品元素 用户偏好 User characteristics Data analysis Product elements User preferences
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  • 1李习彬.熵-信息理论与系统工程方法论的有效性分析[J].系统工程理论与实践,1994,14(2):37-42. 被引量:82
  • 2付关友,朱征宇.个性化服务中基于行为分析的用户兴趣建模[J].计算机工程与科学,2005,27(12):76-78. 被引量:27
  • 3张卫群.图书馆用户信息行为研究综述[J].图书馆学研究,2006(8):87-90. 被引量:23
  • 4刘庆红,李硕,王晰巍.Web集成环境下企业竞争情报模型构建研究[J].情报科学,2006,24(11):1713-1717. 被引量:5
  • 5Scott Nicholson. The Bibliomining Process: Data Ware- housing and Data Mining for Library Decision Making [J].Information Technology and Libraries. December 2003,22(4): 146-151.
  • 6Scott Nicholson. The Basis for bibliomiuing: Frame- works for bringing together usage-based data mining and bibliometrics through data warehousing in digital library services[J].Information Processing & Management,2006, (42):785-804.
  • 7Finnell J, Fontane W. Reference Question Data Mining A Systematic Approach to Library Outreach[J].Reference & User Services Quarterly,2010,49(3):278-286.
  • 8NAYLOR M, WALSH K. A Time-Series Model for Academic Library Data Using Intervention Analysis[J]. LIBRARY & INFORMATION SCIENCE RESEARCH, 1994,16(4)299-314.
  • 9Kovaeevic A, Devedzic V,Pocajt Using data mining to improve digital library services[J].TheElectronic Library,2010,28(6):829-843.
  • 10Resnick P, Varian H R.Recommender systems[J].Communications of the ACM, 1997,40(3) :56-58.

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