Relevant bibliographies by topics / Personalization of information

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Personalization of information'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Personalization of information"

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Perugini, Saverio, and Naren Ramakrishnan. "Program transformations for information personalization." Computer Languages, Systems & Structures 36, no. 3 (October 2010): 223–49. http://dx.doi.org/10.1016/j.cl.2009.09.002.

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Zheng, Kaiming, Xiaoyuan Wang, and Debing Ni. "Reciprocity information and wage personalization." China Economic Review 68 (August 2021): 101645. http://dx.doi.org/10.1016/j.chieco.2021.101645.

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Kintzer, Eric. "Going beyond personalization." ACM SIGMOD Record 29, no. 2 (June 2000): 517. http://dx.doi.org/10.1145/335191.335459.

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SMYTH, BARRY. "ADAPTIVE INFORMATION ACCESS: PERSONALIZATION AND PRIVACY." International Journal of Pattern Recognition and Artificial Intelligence 21, no. 02 (March 2007): 183–205. http://dx.doi.org/10.1142/s0218001407005363.

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As online information continues to grow at an exponential rate our ability to access this information effectively does not, and users are often frustrated by how difficult it is to locate the right information quickly and easily. So-called personalization technology is a potential solution to this information overload problem: by automatically learning about the needs and preferences of users, personalized information access solutions have the potential to offer users a more proactive and intelligent form of information access that is sensitive to their long-term preferences and current needs. In this paper, we document two case-studies of the use of personalization techniques to support information browsing and search. In addition, we consider the inevitable privacy issues that go hand-in-hand with profiling and personalization techniques and highlight the importance of striking the right balance between privacy and personalization when it comes to the development and deployment of practical systems.
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Moldenhauer, Judith. "Storytelling and the personalization of information." Information Design Journal 11, no. 2-3 (December 31, 2003): 230–42. http://dx.doi.org/10.1075/idj.11.2.17mol.

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Students often initially encounter the idea of information design with the preconceived notion that information design is dry and impersonal. To counter this attitude, the author stressed to students that information design is about making information personal (and thus accessible) and instructed students to approach their information design tasks from the point of view of storytelling. Through examples of student projects – forms, maps, and instructions – the author describes how students combined their own reactions to the forms, maps and instructions (i.e., their own stories of encountering the material) with analyses of the visual and verbal characteristics of those information documents (the information’s story) as the basis for developing creating user-based designs.
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Fernández-Luna, Juan M., Juan F. Huete, and Pablo Castells. "Personalization and Recommendation in Information Access." Information Processing & Management 49, no. 3 (May 2013): 637–39. http://dx.doi.org/10.1016/j.ipm.2012.11.001.

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Gwizdka, Jacek, Nicholas Belkin, Susan Dumais, Luanne Freund, and Susan Gauch. "Multiple facets of personalization." Proceedings of the American Society for Information Science and Technology 46, no. 1 (2009): 1–7. http://dx.doi.org/10.1002/meet.2009.145046017.

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Garcia-Rivadulla, Sandra. "Personalization vs. privacy." IFLA Journal 42, no. 3 (September 27, 2016): 227–38. http://dx.doi.org/10.1177/0340035216662890.

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Potey, Madhuri A., and Pradeep K. Sinha. "Personalization Approaches for Ranking." International Journal of Information Retrieval Research 7, no. 1 (January 2017): 1–16. http://dx.doi.org/10.4018/ijirr.2017010101.

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Search engine technologies are evolving to satisfy the user's ever increasing information need; but are yet to achieve perfection especially in ranking. With the exponential growth in the available information on the internet; ranking has become vital for satisfactory search experience. User satisfaction can be ensured to some extent by personalizing the search results based on user preferences which can be explicitly stated or learned from user's search behavior. Machine learning algorithms which predict user preference from the available information related to the user are extensively experimented for personalization. Among several studies undertaken for re-ranking the documents, many focus on the user. Such approaches create user model to capture the search context and behavior. This study attempts to analyze the research trends in user model based personalization and discuss experimental results in personalized information retrieval area. The authors experimented to extend the state of the art in the specific areas of personalization.
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Gorgoglione, Michele, Umberto Panniello, and Alexander Tuzhilin. "Recommendation strategies in personalization applications." Information & Management 56, no. 6 (September 2019): 103143. http://dx.doi.org/10.1016/j.im.2019.01.005.

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Dissertations / Theses on the topic "Personalization of information"

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Almerfors, Mattias. "Visualization of Personalization Information." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97829.

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There has been an increasing use of Internet as an information source and also as a new channel for business-to-business and business-to-consumer communication. This has lead to an increasing need for understanding web traffic and especially a growing need for analyzing this traffic, which demands new analysis tools. The objective for this study was to create an application framework for visualizing XML-formatted data representing web traffic reports. Visualization in two dimensions is created by using Batik, a Java ™ toolkit with the purpose of transforming a well formed XML document into a SVG document and then transcode this into an image format supported by today’s web browsers. Visualization in three dimensions is created by using the Java3D API. In order to create an aesthetically well-balanced graph in three dimensions representing a model of the web traffic on a site, the framework uses a layout algorithm called Graphical Embedder (GEM). This is a force-directed algorithm which uses physical analogy to model the graph. GEM emphasises the spring force approach combined with simulated annealing and the detection of oscillations and rotations. The design of the framework is built up using J2EE techniques. At the front-end this application framework uses JSP and Applet showing the graph for a customer using this service. At the back-end the framework uses Servlets combined with a Filter.
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Perugini, Saverio. "Program Transformations for Information Personalization." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11196.

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Personalization constitutes the mechanisms and technologies necessary to customize information access to the end-user. It can be defined as the automatic adjustment of information content, structure, and presentation. The central thesis of this dissertation is that modeling interaction explicitly in a representation, and studying how partial information can be harnessed in it by program transformations to direct the flow of the interaction, can provide insight into, reveal opportunities for, and define a model for personalized interaction. To evaluate this thesis, a formal modeling methodology is developed for personalizing interactions with information systems, especially hierarchical hypermedia, based on program transformations. The predominant form of personalized interaction developed in this thesis is out-of-turn interaction, a technique which empowers the user to take the initiative in a user--system dialog by providing unsolicited, but relevant, information out-of-turn. Out-of-turn interaction helps flexibly bridge any mismatch between the user's model of information seeking and the system's hardwired hyperlink structure in a manner fundamentally different from extant solutions, such as multiple faceted browsing classifications and search tools. This capability is showcased through two interaction interfaces using alternate modalities to capture and communicate out-of-turn information to the underlying system: a toolbar embedded into a traditional browser for out-of-turn textual input and voice-enabled content pages for out-of-turn speech input. The specific research issues addressed involve identifying and developing representations and transformations suitable for general classes of hierarchical hypermedia, providing supplemental interactions for improving the personalized experience, and studying user's (out-of-turn) interactions with resulting systems.
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Paiu, Raluca. "Exploiting tag information for search and personalization." Hannover Technische Informationsbibliothek und Universitätsbibliothek Hannover, 2010. http://d-nb.info/1001050592/34.

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Paiu, Raluca [Verfasser]. "Exploiting tag information for search and personalization / Raluca Paiu." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover, 2010. http://d-nb.info/1001050592/34.

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Keidl, Markus. "Metadata management and context based personalization in distributed information systems." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973069023.

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Wallin, Jonatan. "Optimization and personalization of a web service based on temporal information." Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-149712.

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Development in information and communication technology has increased the attention of personalization in the 21st century and the benefits to both marketers and customers are claimed to be many. The need to efficiently deliver personalized content in different web applications has increased the interest in the field of machine learning. In this thesis project, the aim is to develop a decision model that autonomously optimizes a commercial web service to increase the click through rate. The model should be based on previously collected data about previous usage of the web service. Different requirements for efficiency and storage must be fulfilled at the same time as the model should produce valuable results. An algorithm for a binary decision tree is presented in this report. The evolution of the binary tree is controlled by an entropy minimizing heuristic approach together with three specified stopping criteria. Tests on both synthetic and real data sets were performed to evaluate the accuracy and efficiency of the algorithm. The results showed that the running time is dominated by different parameters depending on the sizes of the test sets. The model is capable of capturing inherent patterns in the the available data.
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Xing, Xinyu. "Mitigating information manipulation." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54348.

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The advent of information services introduces many advantages, for example, in trade, production and services. While making important descisons today, people increasingly rely on the information gleaned from such services. Presumably, as such, information from these services has become a target of manipulation. During the past decade, we have already observed many forms of information manipulation that misrepresents or alters reality. Some popular manipulation -- we have ever witnessed on the Internet -- include using black hat SEO techniques to drive up the ranking of a disreputable business, creating disinformative campaigns to conceal political dissidence, and employing less-than-honest product assessments to paint a rosy picture for inferior wares. Today, emerging web services and technologies greatly facilitated and enhanced people's lives. However, these innovations also enrich the arsenal of manipulators. The sheer amount of online information available today can threaten to overwhelm any user. To help ensure that users do not drown in the flood of information, modern web services are increasing relying upon personalization to improve the quality of their customers' experience. At the same time, personalization also represents new ammunition for all manipulators seeking to steer user eyeballs, regardless of their intents. In this thesis, I demonstrate a new unforeseen manipulation that exploits the mechanisms and algorithms underlying personalization. To undermine the effect of such manipulation, this thesis also introduces two effective, efficient mitigation strategies that can be applied to a number of personalization services. In addition to aforementioned personalization, increasingly prevalent browser extensions augment the ability to distort online information. In this thesis, I unveil an overlooked but widespread manipulation phenomenon in which miscreants abuse the privilege of browser extensions to tamper with the online advertisement presented to users. Considering that online advertising business is one of the primary approaches used to monetize free online services and applications available to users, and reckless ad manipulation may significantly roil advertising ecosystem, this thesis scrutinizes the potential effect of ad manipulation, and develops a technical approach to detect those browser extensions that falsify the ads presented to end users. Although the thesis merely discusses several manipulation examples in the context of the Internet, the findings and technologies presented in this thesis introduce broad impacts. First, my research findings raise Internet users' awareness about pervasive information manipulation. Second, the proposed technologies help users alleviate the pernicious effects of existing information manipulation. Finally, accompanying the findings and technologies is publicly available open-source software and tools that will help an increasing number of users battle against the growing threat of information manipulation.
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Sulejmanovic, Nedim. "Handgjordasaker.se - Användarcentrerad anpassning." Thesis, University of Kalmar, School of Communication and Design, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-2109.

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Hemsidan handgjordasaker.se är en Internetmarknadsplats som tillhandahåller tjänsten för försäljning av handgjorda produkter. Detta projekt syftar till att ge förslag på hur anpassningar av hemsidans funktionalitet kan göras för att skapa en mer användarcentrerad hemsida. Genom att använda personifieringsprocesser har sidansgränssnitt presenterats på ett sätt som sätter användaren i fokus och med hjälp av utökade funktionaliteter erbjuder användaren möjlighet till att själv påverka och anpassa innehållet på hemsidan. Resultatet presenterades i form av ett ramverk för interaktiondär fokus låg på avdelningar med produkter och användarprofiler.


The webpage handgjordasaker.se is an online marketplace providing service for the saleof handmade products. This project aims to provide suggestions on how adaptations ofthe site's functionality can be done to create a more user-centered webpage. By usingpersonalization processes, sites interfaces is presented in a way that puts the user infocus and with the help of expanded functionality offers the user the opportunity toself-influence and adapt the content on the website. The results were presented in theform of a framework for the interaction where the focus was on products user profiles.

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Stampoultzis, Michael. "The use of XML schema and XSLT rules for product information personalization." Thesis, City University London, 2004. http://openaccess.city.ac.uk/8453/.

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This thesis describes research carried out in order to help solve the problem of personalization in e-commerce/CRM system. Web-based personalization consists of activities, such as providing customised information, that tailor the user's Web experience- browsing a Web site or purchasing a product, for example-to that user's particular needs. The main research objective of the project is to investigate how XSLT technologies can be used for the development of matching engines that find XML represented products that match the tastes, needs or requirements of customers as captured in customer profiles, also represented in XML. More specifically our research investigates into novel algorithms for transforming XML based product specifications using rules that derive from mining customer profiles with the purpose of customizing the product information.
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Toivonen, Elisa. "Surveillance? : The influence of information asymmetry on consumers’ perceptions of online personalization." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-22056.

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Data collection and online personalization has become essential part of modern marketing, and thus, embedded into consumer’s everyday life. This has emerged a lot of negative attention in the media and privacy concerns among consumers – however, their attitudes towards privacy seems to be controversial with lack of privacy enhancing behavior. The purpose of this study was to find out what is consumers take on online personalization, data collection and GDPR. In order to the tackle the causing reasons of such perceptions, focus group discussions were performed. The emerging thoughts were analyzed with the concepts of privacy paradox and information asymmetry – how structural imbalance between the advertisement network, companies and consumers impacted to their thinking about personalization and which factors caused the unwillingness to enhance one’s privacy, despite the attitudes that would predict different behavior. The results showed, that many respondents do not mind personalization if they perceive it relevant. However, the intrusive nature of its practices made the participants, directly or indirectly, reluctant towards it, as it was highlighted that it is not personalization per se that made the respondents uncomfortable, but how it was done. Due to the advertisement networks’ opaque nature, the participants founded challenging to comprehend how personalization was performed. Thus, conspiracy theories about surveillance, such as tapping via smartphone, were broad up to explain companies’ ability to know and target them so well. The main channel for companies to inform consumers about their privacy policy is terms and conditions. However, due to several reasons, the decision making for one’s privacy face many hinders, that may influence in how consumers perceive their privacy and how their personal data is collected and used. A controversiality between GDPR’s, companies’ and consumers’ view on privacy self-management is evident, as the regulation and companies rely too much on consumer’s own responsibility.
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Books on the topic "Personalization of information"

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Grant, Emanuel, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos, and Yuzuru Tanaka, eds. Information Search, Integration, and Personalization. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43862-7.

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Kotzinos, Dimitris, Dominique Laurent, Nicolas Spyratos, Yuzuru Tanaka, and Rin-ichiro Taniguchi, eds. Information Search, Integration, and Personalization. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30284-9.

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Kotzinos, Dimitrios, Yeow Wei Choong, Nicolas Spyratos, and Yuzuru Tanaka, eds. Information Search, Integration and Personalization. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38901-1.

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Kawtrakul, Asanee, Dominique Laurent, Nicolas Spyratos, and Yuzuru Tanaka, eds. Information Search, Integration, and Personalization. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08732-0.

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Flouris, Giorgos, Dominique Laurent, Dimitris Plexousakis, Nicolas Spyratos, and Yuzuru Tanaka, eds. Information Search, Integration, and Personalization. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44900-1.

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Tanaka, Yuzuru, Nicolas Spyratos, Tetsuya Yoshida, and Carlo Meghini, eds. Information Search, Integration and Personalization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40140-4.

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Heikkinen, Kari. Conceptualization of user-centric personalization management. Lappeenranta: Lappeenranta University of Technology, 2005.

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Bamshad, Mobasher, Desmarais Michel C, Nkambou Roger 1966-, and SpringerLink (Online service), eds. User Modeling, Adaptation, and Personalization: 20th International Conference, UMAP 2012, Montreal, Canada, July 16-20, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Carberry, Sandra. User Modeling, Adaptation, and Personalization: 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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International Workshop on Semantic Media Adaption and Personalization (1st 2006 Athens, Greece). SMAP 2006: Proceedings : First International Workshop on Semantic Media Adaptation and Personalization : 4-5 December, 2006, Athens, Greece. Los Alamitos, Calif: IEEE Computer Society, 2006.

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Book chapters on the topic "Personalization of information"

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Fensel, Dieter, Borys Omelayenko, Ying Ding, Michel Klein, Alan Flett, Ellen Schulten, Guy Botquin, Mike Brown, and Gloria Dabiri. "Information Personalization." In Intelligent Information Integration in B2B Electronic Commerce, 57–63. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-5538-1_6.

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Ravat, Franck, and Olivier Teste. "Personalization and OLAP Databases." In Annals of Information Systems, 1–22. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-87431-9_4.

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Wolff, Daniela, Marc Schaaf, Stella Gatziu Grivas, and Uwe Leimstoll. "Context-Aware Website Personalization." In Knowlege-Based and Intelligent Information and Engineering Systems, 51–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23863-5_6.

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Shahabi, Cyrus, and Yi-Shin Chen. "Web Information Personalization: Challenges and Approaches." In Databases in Networked Information Systems, 5–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39845-5_2.

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Instone, Keith. "An Information Architecture Perspective on Personalization." In Designing Personalized User Experiences in eCommerce, 75–93. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/1-4020-2148-8_6.

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Abidi, Syed Sibte Raza, and Yong Han Chong. "Constraint Satisfaction Methods for Information Personalization." In Advances in Artificial Intelligence, 261–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24840-8_19.

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Athukorala, Kumaripaba M. "Enhancing Exploratory Information-Seeking through Interaction Modeling." In User Modeling, Adaptation, and Personalization, 478–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_43.

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Vavliakis, Konstantinos N., Maria Th Kotouza, Andreas L. Symeonidis, and Pericles A. Mitkas. "Personalization and the Conversational Web." In Lecture Notes in Business Information Processing, 56–77. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35330-8_4.

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Rosa, Tiago Antonio, and Sergio Donizetti Zorzo. "Personalization of Privacy in Mobile Social Networks." In Enterprise Information Systems, 555–73. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-29133-8_27.

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Maniadis, Ioannis, Konstantinos N. Vavliakis, and Andreas L. Symeonidis. "Banner Personalization for e-Commerce." In IFIP Advances in Information and Communication Technology, 635–46. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19823-7_53.

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Conference papers on the topic "Personalization of information"

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Korhonen, Olli. "Personalization in Digital Services: Information Technology Supporting Service Personalization Process." In 30TH Bled eConference: Digital Transformation – From Connecting Things to Transforming Our Lives, June 18 – 21, 2017, Bled, Slovenia. University of Maribor Press, 2017. http://dx.doi.org/10.18690/978-961-286-043-1.52.

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Mauro, Noemi. "Personalization in Geographical Information Search." In Seventh BCS-IRSG Symposium on Future Directions in Information Access. BCS Learning & Development, 2017. http://dx.doi.org/10.14236/ewic/fdia2017.5.

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Albadarneh, Aalaa, and Abdallah Qusef. "Personalization in mobile commerce." In 2017 8th International Conference on Information Technology (ICIT). IEEE, 2017. http://dx.doi.org/10.1109/icitech.2017.8079964.

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"PERSONALCASTING - Personalization on Datacasting." In International Conference on Knowledge Management and Information Sharing. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002303402920295.

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"PERSONALIZATION IN VIRTUAL ENTERPRISES." In 5th International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001842905810584.

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Clements, Maarten. "Personalization of Social Media." In BCS IRSG Symposium: Future Directions in Information Access 2007. BCS Learning & Development, 2007. http://dx.doi.org/10.14236/ewic/fdia2007.14.

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Makhani, Asif. "Structure, Personalization, Scale." In SIGIR '15: The 38th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2766462.2776785.

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Razali, Mohd Norhisham, Tan Soo Fun, Fariza Hanis Abdul Razak, and Rozita Hanapi. "Online information sharing issues in website personalization." In 2010 International Conference on User Science and Engineering (i-USEr 2010). IEEE, 2010. http://dx.doi.org/10.1109/iuser.2010.5716766.

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Pang, Huanli, Lianzhe Zhou, and Hanmei Liu. "Personalization recommendation service in enterprise information portal." In 2010 IEEE International Conference on Software Engineering and Service Sciences (ICSESS). IEEE, 2010. http://dx.doi.org/10.1109/icsess.2010.5552430.

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Barlas, Pınar, Kyriakos Kyriakou, Antrea Chrysanthou, Styliani Kleanthous, and Jahna Otterbacher. "OPIAS: Over-Personalization in Information Access Systems." In UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3386392.3397607.

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Reports on the topic "Personalization of information"

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Sarofim, Samer. Developing an Effective Targeted Mobile Application to Enhance Transportation Safety and Use of Active Transportation Modes in Fresno County: The Role of Application Design & Content. Mineta Transportation Institute, July 2021. http://dx.doi.org/10.31979/mti.2021.2013.

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This research empirically investigates the need for, and the effective design and content of, a proposed mobile application that is targeted at pedestrians and cyclists in Fresno County. The differential effect of the proposed mobile app name and colors on the target audience opinions was examined. Further, app content and features were evaluated for importance and the likelihood of use. This included design appeal, attractiveness, relevance, ease of navigation, usefulness of functions, personalization and customization, message recipients’ attitudes towards message framing, and intended behaviors related to pedestrian, cyclist, and motorist traffic safety practices. Design mobile application features tested included image aesthetics, coherence and organization, and memorability and distinction. Potential engagement with the mobile app was assessed via measuring the users’ perceived enjoyment while using the app. The behavioral intentions to adopt the app and likelihood to recommend the app were assessed. The willingness to pay for purchasing the app was measured. This research provided evidence that a mobile application designed for pedestrians and cyclists is needed, with high intentions for its adoption. Functions, such as Safety Information, Weather Conditions, Guide to Trails, Events for Walkers and Bikers, and Promotional Offers are deemed important by the target population. This research was conducted in an effort to increase active transportation mode utilization and to enhance the safety of vulnerable road users. The public, city administrators, transportation authorities, and policy makers shall benefit from the results of this study by adapting the design and the features that are proposed in this research and were found appealing and useful for the target vulnerable road user groups. The need of the proposed mobile application and its main functions are established, based on the results of this research, which propagates further steps of implementation by city administrators and transportation authorities.
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You might also be interested in the extended bibliographies on the topic 'Personalization of information' for particular source types:
Journal articles Dissertations / Theses Books
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