Complements and substitutes in online product recommendations: The differential effects on consumers’ willingness to pay

Online product recommendations have been shown to influence consumers’ preferences and purchasing behaviors for recommended products. However, it remains an open empirical question whether and how recommendations of other products affect a consumer’s economic behavior for a focal product. In many e-commerce websites, a product is presented with co-purchase and co-view recommendations, which potentially contain complementary and substitutable products, respectively. Very little research has explored differential effects of recommending complementary and substitutable products. In this study, we explore how types of other recommended products impact consumers’ willingness to pay for a focal product through interactions with prices of recommended products and consumers’ decision stages. We conducted a 2³ randomized factorial experiment as well as two 2 × 2 experiments to examine these issues. Experimental results provide evidence that there is a significant interaction effect between the recommendation type and decision stage, which highlights the importance of recommendation timing on e-commerce platforms. Furthermore, it also illustrates that the effect of recommending complementary vs. substitutable products is subject to contextual factors such as consumers’ decision stages. Results of our study have significant implications for the design and application of online recommender systems.     

面向移动终端的微博信息推荐方法

微型博客(简称“微博')以其简洁方便的交互方式,受到越来越多手机用户的喜爱。然而,微博数据量大、更新速度快以及手机屏幕小、登录网络服务速度较慢等原因,使得用户很难通过移动终端快速了解到近期内微博流行内容。提出一种基于相关主题模型(correlated topic model)的移动微博信息推荐方法,并基于此方法设计了一个可视化移动信息推荐系统。通过‘用户一主题一词语’三维关联矩阵的建立,帮助用户快速了解最近一段时间内的热点主题,并查找与其感兴趣主题相关的其他用户作为备选好友,同时计算主题之间的关联关系,进行主题扩展。在微博代表性网站—Fricndfccd数据集上进行的实验表明了该方法在移动微博信息推荐中的简洁性和有效性。     

Adaptive landmark recommendations for travel planning: Personalizing and clustering landmarks using geo-tagged social media

When travelers plan trips, landmark recommendation systems that consider the trip properties will conveniently aid travelers in determining the locations they will visit. Because interesting locations may vary based on the traveler and the situation, it is important to personalize the landmark recommendations by considering the traveler and the trip. In this paper, we propose an approach that adaptively recommends clusters of landmarks using geo-tagged social media. We first examine the impact of a trip’s spatial and temporal properties on the distribution of popular places through large-scale data analyses. In our approach, we compute the significance of landmarks for travelers based on their trip’s spatial and temporal properties. Next, we generate clusters of landmark recommendations, which have similar themes or are contiguous, using travel trajectory histories. Landmark recommendation performances based on our approach are evaluated against several baseline approaches. Our approach results in increased accuracy and satisfaction compared with the baseline approaches. Through a user study, we also verify that our approach is applicable to lesser-known places and reflects local events as well as seasonal changes.     

基于PH-Tree多属性索引树的朋友推荐算法

现阶段越来越多的人通过社交网络结识新朋友,如何为用户快速准确推荐朋友是考量平台服务能力的重要指标.提出了一种基于索引树的在线网络朋友推荐方法,即基于网络结构局部特性的思想将用户间的多属性相交值转换为二进制位码向量表示,利用改进后的PH-Tree将所有的向量构造成排序索引树,通过遍历索引树容易确定用户的最佳推荐朋友集.实验证明本方法具有较高的效率和准确率.     

A replicated and refined empirical study of the use of friends in C++ software

The friend mechanism is widely used in C++ software even though the potential benefits of its use are disputed and little is known about when, where and why it is employed in practice. Furthermore, there is limited empirical analysis of its impact in object-oriented software, with only one study (Counsell and Newson, 2000) reported at journal level.This paper aims to add to the empirical evidence of friendship’s impact by replicating Counsell and Newson (2000)’s original study. The study’s design is refined to improve the construct validity of the evaluation and a larger cohort of systems is used to improve the generalisability of the results. The findings suggest that classes involved in friendship are coupling hotspots and that there is no link between inheritance and friendship, contrary to the findings presented in Counsell and Newson (2000). The findings also suggest that the use of friends in a class is independent of the number of hidden members in a class.     

Improving the quality of predictions using textual information in online user reviews

Online reviews are often accessed by users deciding to buy a product, see a movie, or go to a restaurant. However, most reviews are written in a free-text format, usually with very scant structured metadata information and are therefore difficult for computers to understand, analyze, and aggregate. Users then face the daunting task of accessing and reading a large quantity of reviews to discover potentially useful information. We identified topical and sentiment information from free-form text reviews, and use this knowledge to improve user experience in accessing reviews. Specifically, we focus on improving recommendation accuracy in a restaurant review scenario. We propose methods to derive a text-based rating from the body of the reviews. We then group similar users together using soft clustering techniques based on the topics and sentiments that appear in the reviews. Our results show that using textual information results in better review score predictions than those derived from the coarse numerical star ratings given by the users. In addition, we use our techniques to make fine-grained predictions of user sentiments towards the individual topics covered in reviews with good accuracy.     

商业银行敏感数据识别与风险分析

有效识别商业银行的敏感数据,分析敏感数据在传输与存储等过程中可能存在的泄漏风险,对于制定有针对性的数据安全保护策略有极其重要的意义。在对我国商业银行信息系统充分调研的基础上,提出一种面向安全标的的敏感数据识别方法,对商业银行应该重点保护的敏感数据进行分类识别,并采用全生命周期信息风险防范与控制的方法,分析银行金融系统由于研发过程中设计考虑不充分而导致系统运行过程中可能面临敏感数据信息泄露的风险,结合监管部门、银行行业管理规范及银行机构实际情况,提出商业银行敏感数据保护与控制的建议,为商业银行建立敏感数据安全保护控制相关管理制度和措施奠定必要的基础。     

Development of nitrogen fertilizer recommendations for arable crops in the Netherlands in relation to nitrate leaching

In the Netherlands, current nitrogen fertilizer recommendations for arable crops are based on the amount of soil mineral nitrogen in early spring. The larger the amount of soil mineral nitrogen, the lower the recommended application rate of fertilizer nitrogen. A more refined method is to draw up a balance sheet in which the nitrogen requirement of the crop is given on the one side and the contributions of fertilizer nitrogen, soil mineral nitrogen, and the amount of nitrogen mineralized during the growing period on the other. The most refined method of nitrogen fertilizer recommendation is the use of a simulation model that predicts the daily crop nitrogen requirement and nitrogen supply to the crop from various pools during the growing period. A simulation model thus adds the time element to nitrogen fertilizer recommendations. Moreover, in contrast with the other two methods, a simulation model allows identification of environmental side-effects of nitrogen fertilizer application.The current Dutch nitrogen fertilizer recommendations aim at predicting the economically optimum application rate of fertilizer nitrogen. From the environmental point of view it is interesting to know how much soil mineral nitrogen has accumulated in the soil at harvest, because this nitrogen is a potential loss to the environment through nitrate leaching during the subsequent winter period. If the economically optimum application rate of fertilizer nitrogen is applied to arable crops, it is unlikely that soil mineral nitrogen accumulates, except in the case of potatoes. Model calculations have shown that accumulation of soil mineral nitrogen after potatoes can be prevented when the recommended nitrogen application rate is reduced by 25%. In that case tuber yield is reduced by only 2%.     

Health-Habit Modification.

Comments on the article by T. J. Stachnik (see record 1980-10503-001) that states that psychotherapy may not be useful for health-habit modification and that psychologists should shift the emphasis of their work toward a concern for health-habit modification. The present author takes exception to this statement, stating that psychotherapy, is broadly defined to include behavior modification and hypnosis, is currently the treatment of choice for health-habit modification. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Rapport Annuel Comite Sur Le Financement Des Recherches.

Presents, in French, a series of recommendations by the Research Financing Committee of the Canadian Psychological Association. (PsycINFO Database Record (c) 2010 APA, all rights reserved)