Personalization and privacy

Volokh, Eugene

doi:10.1145/345124.345155

Cited by 81 publications

(34 citation statements)

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“…Apart from the technology-related factors, prior Information System (IS) research also explores ethical issues related to personalization (Kramer et al, 2000;Stewart & Segars, 2002;Volokh, 2000). Users face a dilemma.…”

Section: Methodology and Hypotheses Developmentmentioning

confidence: 99%

Implementing End-User Privacy through Human Computer Interaction for Improving Quality of Personalized Web

Abu-Dalbouh

2016

CIS

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Users are exposed to an overwhelming amount of information in several application domains. There is a remarkable increase in the usage of Internet and general technology improvements. From this, it follows that there is a demand and need to create personalized web systems. Thus, personalized web systems are a good method of handling the flood of information and information overload, by helping people to surf the net and look for what they need. Unfortunately, the privacy issues that end-users face have not been taken seriously by some of these personalized web systems, as some of them apply it partially or fail to address the privacy issues in personalization. This affects the quality of the existing personalized web. The paper aims to investigate and explain the reasons behind the end-user's fears in giving out his/her personal information on personalized websites. Then, based on the results modifying approach of personalized web through the use of Human Computer Interaction models to enhance the quality of the current personalized web. By addressing the main privacy issues in human computer interaction that helps the end-user trust the personalization web and website with his/her personal information and improve the quality of current personalized web. A survey study with 134 Internet users was conducted. The findings show that personalization plays different roles of attracting users in personalized websites. Internet users want useful personalized services, but at the same time, they are concerned with the manner in which firms use their data for personalization. If the involvement of Internet users with their current site is high, then personalized services are not attractive enough to motivate them to give their personal information.

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Section: Methodology and Hypotheses Developmentmentioning

confidence: 99%

Implementing End-User Privacy through Human Computer Interaction for Improving Quality of Personalized Web

Abu-Dalbouh

2016

CIS

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“…There are two remarkable advantages on this. First, the user does not need to worry about the privacy infringement, which is a big concern for personalized search [26]. Second, both the computation of personalization and the storage of the user profile are done at the client side so that the server load is reduced dramatically [9].…”

Section: Related Workmentioning

confidence: 99%

Implicit user modeling for personalized search

Shen

Tan

Zhai

2005

Proceedings of the 14th ACM International Conference on Information and Knowledge Management

325

220

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Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally lack user modeling and are not adaptive to individual users, resulting in inherently non-optimal retrieval performance. For example, a tourist and a programmer may use the same word "java" to search for different information, but the current search systems would return the same results. In this paper, we study how to infer a user's interest from the user's search context and use the inferred implicit user model for personalized search . We present a decision theoretic framework and develop techniques for implicit user modeling in information retrieval. We develop an intelligent client-side web search agent (UCAIR) that can perform eager implicit feedback, e.g., query expansion based on previous queries and immediate result reranking based on clickthrough information. Experiments on web search show that our search agent can improve search accuracy over the popular Google search engine.

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“…Unfortunately, this heightened information sharing often conflicts with consumers' desires to be shielded from unauthorized secondary use of their medical and banking records. Although many consumers believe we should have a legal right to privacy, consumers cannot rely on existing legislation for protection [21] nor can they reply on the privacy practices of professionals who play a significant role in the overall quality of data collected, accessed, or used to define service delivery.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Information Privacy in the Service Sector: An Exploratory Study of Health Care and Banking Professionals

Earp¹,

Payton²

2006

Journal of Organizational Computing and Electronic Commerce

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Service industries, such as health care and banking, process large amounts of sensitive customer data in their daily transactions. The information obtained from this data frequently supports the competitive strategies of organizations while concurrently causing uncertainty and concern from the customer. Furthermore and given the service orientation of these data, poor data quality can result in extensive social and economic impacts. As a result, data practices and the employees who process the data must be managed in a cautious and thorough manner to thwart any privacy violations. This article explores employees' privacy orientation in their respective sector, health care or banking, through a parsimonious 15-item instrument. Our results indicate that health care professionals are largely concerned about errors in patient information whereas banking professionals are concerned about improper access of customer information-thereby suggesting differences in perceived privacy practices among these 2 service sectors. Several explanations are offered for the concerns that surfaced from the 2 groups. Therefore, our results build on a data quality hierarchical framework consisting of accuracy, appropriate amount of data, accessibility, and access security. Our results hold public policy, legal, and security implications to the managerial staff at both health care and banking organizations. To date, there has been little research that gives substantial insight into the privacy practices of service industry workers, such as banking and health care employees. In this article, we discuss the implications of these findings and suggest directions for future research.health care, banking, privacy, survey research, data management

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Personalization and privacy

Cited by 81 publications

References 0 publications

Implementing End-User Privacy through Human Computer Interaction for Improving Quality of Personalized Web

Implementing End-User Privacy through Human Computer Interaction for Improving Quality of Personalized Web

Implicit user modeling for personalized search

Information Privacy in the Service Sector: An Exploratory Study of Health Care and Banking Professionals

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