基于旅游网站交互功能的访问者行为多时间维度研究

发布时间：2018-08-27 11:17

【摘要】：应用国内不同类型旅游网站Alexa排名和访问量查询系统,获得了一组不同起始时间的日内、周内、年内访问者行为的时间序列资料,基此研究了多时间维度下的旅游网站访问者行为特征,研究中特别关注旅游网站交互功能的作用。首先给出了一种分析多维时间序列的"多时间维度"方法,以便用单一的集合数据测量若干时间序列周期的访问量变动;然后解释了这些行为特征可能受到的不同旅游网站功能的影响。研究发现:访问者在日内行为上不断增多的均匀化分布主要发生在网上交流与组织功能较强大的网站类型中;访问者在周内行为上周末较少状态的改变以信息功能类网站表现显著;访问者在年内行为上也因旅游网站功能不同而存在一定差异,节后访问高峰现象与新的网站功能的使用密切相关。研究认为:①通过访问量活跃率拟合的成熟曲线能够表述访问者行为随时间变化的特征,成熟曲线与均值线的比较说明了活跃率的偏离情况。②访问者行为时间分布形态的广泛化和复杂化是基于网站需求的多样化及相应的网站使用时间延长而产生的,正是多样性的需求极大地弱化了传统的活跃率分布规律。③弄清楚旅游网站访问者行为的时间分布的多样性变化,有助于实行针对性的网上产品设计与服务。对电子服务企业开发电子商务而言,有助于建立依据时间分布多样性需求的网络营销战略与网站广告设置。
[Abstract]:Using the Alexa ranking and visit query system of different types of domestic travel websites, a set of time series data of visitors' behavior during the day, week and year at different starting times were obtained. In this paper, we study the behavior characteristics of tourist website visitors in multi-time dimension, and pay special attention to the interaction function of tourism website. In this paper, a "multi-time dimension" method for analyzing multi-dimensional time series is presented in order to measure the change of access quantity of several time series periods with a single set of data. Then it explains the possible impact of these behavioral characteristics on the functions of different travel sites. It is found that the increasing homogenization of visitors' behavior during the day mainly occurs in the types of web sites with strong function of communication and organization; The behavior of visitors during the weekend was significantly different from that of information function sites, and the behavior of visitors during the year was different due to the different functions of tourism websites. The phenomenon of peak visits after the festival is closely related to the use of new website functions. The study shows that the mature curve fitted by the traffic activity ratio of: 1 can describe the characteristics of visitors' behavior over time. The comparison between the mature curve and the average curve shows that the deviation of the activity rate .2 the extensive and complicated behavior distribution pattern of visitors is based on the diversification of website requirements and the corresponding prolonged service time of the website. It is precisely the demand for diversity that greatly weakens the traditional law of activity distribution. 3. Find out the diversity of the time distribution of visitors' behavior on tourist websites, and help to implement targeted online product design and service. For the electronic service enterprises to develop electronic commerce, it is helpful to establish the network marketing strategy and the website advertisement setting according to the time distribution diversity demand.
【作者单位】：河北师范大学资源与环境科学学院;昆士兰大学地理、规划与环境管理学院;
【基金】：国家自然科学基金项目(编号:40971073)资助
【分类号】：TP393.092

【相似文献】