This is the summary of a behavioral targeting article by Diana L. Huerta – Muñoz, Roger Z Rios-Mercado, and Ruben Ruiz. A beverage distribution company wants to partition its customers into those sharing marketing and geographical attributes. In addition, the segments must be compact enough as desired. This paper addresses this customer segmentation problem. The original pdf file can be accessed here: An Iterated Greedy Heuristic for a Market Segmentation Problem with Multiple Attributes.
This is the summary of an article by Karissa McKelvey, Alex Rudnick, Michael Conover and Filippo Menczer. It talks about using Twitter to collect huge amounts of data online for a large-scale social study, but make these data and their interpretation easily accessible to social scientists and anyone else interested who may not have the technical know-how otherwise. The paper further describes extensions to the platform responsible for this convenience, called Truthy. Collaboration between persons in the computational and social field can then be further realized. You can get the pdf of the behavioral targeting article here: Visualizing Communication on Social Media: Making Big Data Accessible.
This is the summary of an article by Sitaram Asur and Bernardo A. Huberman. This paper shows how content in social media can be used as a real-world outcome predictor. Twitter.com’s chatter was used to predict movie box-office revenues. The authors created a simple model from tweet rate about certain topics that actually performed better than market-based predictors. Furthermore, Twitter sentiments were also shown to help improve the predicting power of social media. You can get the pdf of the behavioral targeting article here: Predicting the Future With Social Media.
This is the summary of a behavioral targeting research by J. Joseph Cronin Jr., Michael K. Brady and G. Tomas M. Hult. You can get the pdf of the behavioral targeting article here: Assessing the Effects of Quality, Value and Customer Satisfaction on Consumer Behavioral Intentions in Service Environments.
Advertising has evolved from printed media to broadcast media, and now to the technological advancement that is the Internet. While this is a good opportunity to mass advertise online, there are many techniques using online databases and cookies to personalize advertisements. Yet there is another frontier for advertisers, and that is called Location-Aware Advertising (LAA). This is the summary of the behavioral targeting research by Lih-bin Oh and Heng Xu. You can get the pdf of the behavioral targeting article here: Effects of Multimedia on Mobile Consumer Behavior.
During the past decade, environmental concern has gone from being more than just a trendy topic, to being a priority among consumers and the media. In fact, the products that most consumers buy nowadays are green products, or environment friendly products. The media has advertised ways to protect the environment, through products that aren’t harmful to its already degrading state. There has been a change in attitude among customers geard towards being concerned about the environment, and so companies will adjust to this shift. This is the summary of a research by Nea Lindqvist. You can get the pdf of the behavioral targeting research here: Green Segmentation
In theory, the Internet is a continuous-rate network. Clients that want to gain access to the internet can request for specific rates such as 98.99 Mbps, or 99.01 Mbps. This is possible, but it causes a lot of complications to the company providing the internet service. For one, the managements and operations of the company will definitely be very difficult to handle. This is the summary of a behavioral targeting by Qian Lv and George Rouskas. You can get the pdf of the behavioral targeting here: Internet Service Tiering.
As employees deliver their services to customers, things can go wrong sometimes, and Service Failure occurs. Organizations that have service failure lose their customers, and in turn, lose millions of revenue dollars. That is why many managers feel the need to know about the nature of service failure: how it takes place, what the response of the customers are to these service failures, and how to recover these lost customers. This is the summary of an article by Rebekah Bennett, et al. You can get the pdf of the behavioral targeting here: Emotions and Complaining Behavior Following Service Failure
This is the summary of an article by Catherine Dwyer, in which she describes how users are tracked on Levis.com
You can get the PDF of the behavioral targeting article here: