CiteULike: brusilovsky's adaptive-web

Designing Adaptive Web Applications

Peter Dolog — 2008-01-23T19:29:24-00:00

SOFSEM 2008: Theory and Practice of Computer Science (2008), pp. 23-33.

The unique characteristic of web applications is that they are supposed to be used by much bigger and diverse set of users and stakeholders. An example application area is e-Learning or business to business interaction. In eLearning environment, various users with different background use the eLearning system to study a discipline. In business to business interaction, different requirements and parameters of exchanged business requests might be served by different services from third parties. Such applications require certain intelligence and a slightly different approach to design. Adpative web-based applications aim to leave some of their features at the design stage in the form of variables which are dependent on several criteria. The resolution of the variables is called adaptation and can be seen from two perspectives: adaptation by humans to the changed requirements of stakeholders and dynamic system adaptation to the changed parameters of environments, user or context. Adaptation can be seen as an orthogonal concern or viewpoint in a design process. In this paper I will discuss design abstractions which are employed in current design methods for web applications. I will exemplify the use of the abstractions on eLearning web applications as well as on applications for business to business interaction based on web services.

Simplifying web traversals by recognizing behavior patterns

Christian Doerr — 2007-12-21T21:05:21-00:00

(2007), pp. 105-114.

Web sites must often service a wide variety of clients. Thus, it is inevitable that a web site will allow some visitors to find their information quickly while other visitors have to follow many links to get to the information that they need. Worse, as web sites evolve, they may get worse over time so that all visitors have to follow many links to find the information that they need. This paper describes an extensible system that analyzes web logs to find and exploit opportunities for improving the navigation of a web site. The system is extensible in that the inefficiencies that it finds and eliminates are not predetermined; to search for a new kind of inefficiency, web site admininstrators can provide a pattern (in a language designed specifically for this) that finds and eliminates the new inefficiency.

Mobility agents: guiding and tracking public transportation users

Alexander Repenning — 2007-12-12T21:58:03-00:00

(2006), pp. 127-134.

Increasingly, public transportation systems are equipped with Global Positioning Systems (GPS) connected to control centers through wireless networks. Controllers use this infrastructure to schedule and optimize operations and avoid organizational problems such as bunching. We have employed this existing infrastructure to compute highly personalized information and deliver it on PDAs and cell phones. In addition to guiding people using public transportation by showing them which bus they should take to reach specific destinations, we track their location to create spatial awareness to a community of users. An application of this technology, called Mobility Agents, has been created and tested for people with cognitive disabilities. About 7% of the U. S. population has a form of cognitive disability. Cognitive disabilities are limitations of the ability to perceive, recognize, understand, interpret, and respond to information. The ability to use public transportation can dramatically increase the independence of this population. The Mobility Agents system provides multimodal prompts to a traveler on handheld devices helping with the recognition of the "right" bus, for instance. At the same time, it communicates to a caregiver the location of the traveler and trip status. This article describes our findings at several levels. At a technical level, it outlines pragmatic issues including display issues, GPS reliability and networking latency arising from using handheld devices in the field. At a cognitive level, we describe the need to customize information to address different degrees and combinations of cognitive disabilities. At a user interface level, we describe the use of different mission status interface approaches ranging from 3D real-time visualizations to SMS and instant messaging-based text interfaces.

The Adaptive Web: Methods and Strategies of Web Personalization

2007-10-17T00:41:10-00:00

(11 June 2007)

Following the increase in of the information available on the Web, the diversity of its users and the complexity of Web applications, researchers started developing adaptive Web systems that tailored their appearance and behavior to each individual user or user group. Adaptive systems were designed for different usage contexts, exploring different kinds of personalization. Web personalization has evolved into a large research field attracting scientists from different communities such as hypertext, user modeling, machine learning, natural language generation, information retrieval, intelligent tutoring systems, cognitive science, and Web-based education. This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for researchers, practitioners, and students. The volume constitutes a comprehensive and carefully planned collection of chapters, mapping out the most important areas of the adaptive Web, each solicited from experts and leaders in the field. The largest part of the book focuses on personalization techniques, namely the modeling side of personalization (Chaps. 1-5), and on adaptation, (Chaps. 6-14). The technique-focused part is complemented by four domain-oriented chapters in the third section of the book (Chaps. 15-18). The last section is devoted to recently emerging topics; it provides a prospective view of the new ideas and techniques that are moving rapidly into the focus of the adaptive Web community and gives the reader a glimpse into the not-so-distant future.

Privacy-enhancing personalized web search

Yabo Xu — 2007-05-12T19:44:35-00:00

(2007), pp. 591-600.

A large-scale evaluation and analysis of personalized search strategies

Zhicheng Dou — 2007-05-12T17:41:52-00:00

(2007), pp. 581-590.

Category ranking for personalized search

Christos Makris — 2007-02-16T07:23:21-00:00

Data & Knowledge Engineering, Vol. 60, No. 1. (January 2007), pp. 109-125.

Despite the effectiveness of search engines, the persistently increasing amount of web data continuously obscures the search task. Efforts have thus concentrated on personalized search that takes account of user preferences. A new concept is introduced towards this direction; search based on ranking of local set of categories that comprise a user search profile. New algorithms are presented that utilize web page categories to personalize search results. Series of user-based experiments show that the proposed solutions are efficient. Finally, we extend the application of our techniques in the design of topic-focused crawlers, which can be considered an alternative personalized search.

Interest-based personalized search

Zhongming Ma — 2007-02-21T12:03:12-00:00

ACM Trans. Inf. Syst., Vol. 25, No. 1. (February 2007)

Web search engines typically provide search results without considering user interests or context. We propose a personalized search approach that can easily extend a conventional search engine on the client side. Our mapping framework automatically maps a set of known user interests onto a group of categories in the Open Directory Project (ODP) and takes advantage of manually edited data available in ODP for training text classifiers that correspond to, and therefore categorize and personalize search results according to user interests. In two sets of controlled experiments, we compare our personalized categorization system (PCAT) with a list interface system (LIST) that mimics a typical search engine and with a nonpersonalized categorization system (CAT). In both experiments, we analyze system performances on the basis of the type of task and query length. We find that PCAT is preferable to LIST for information gathering types of tasks and for searches with short queries, and PCAT outperforms CAT in both information gathering and finding types of tasks, and for searches associated with free-form queries. From the subjects' answers to a questionnaire, we find that PCAT is perceived as a system that can find relevant Web pages quicker and easier than LIST and CAT.

Google news personalization: scalable online collaborative filtering

Abhinandan Das — 2007-05-10T19:42:19-00:00

(2007), pp. 271-280.

Predicting web actions from HTML content

Brian Davison — 2007-05-06T18:16:34-00:00

(2002), pp. 159-168.

Reappraising cognitive styles in adaptive web applications

Elizabeth Brown — 2006-09-25T12:05:10-00:00

(2006), pp. 327-335.

Integrating heterogeneous adaptation techniques to build a flexible and usable mobile tourist guide

Federica Cena — 2007-04-20T02:15:34-00:00

AI Commun., Vol. 19, No. 4. (December 2006), pp. 369-384.

Dynamic personalization of web sites without user intervention

Ranieri Baraglia — 2007-02-12T16:46:40-00:00

Commun. ACM, Vol. 50, No. 2. (February 2007), pp. 63-67.

Putting personalization into practice

Josef Fink — 2007-02-12T16:35:40-00:00

Commun. ACM, Vol. 45, No. 5. (May 2002), pp. 41-42.

From social bookmarking to social summarization: an experiment in community-based summary generation

Oisin Boydell — 2007-02-03T17:44:48-00:00

(2007), pp. 42-51.

Navigation in degree of interest trees

Raluca Budiu — 2006-08-25T12:03:46-00:00

(2006), pp. 457-462.

Personalized web search by mapping user queries to categories

Fang Liu — 2005-11-04T05:31:43-00:00

(2002), pp. 558-565.

Personal Ontologies for Web Navigation

Jason Chaffee — 2005-07-27T10:06:25-00:00

(2000), pp. 227-234.

The publicly indexable Web contains an estimated 800 million pages, however it is estimated that the largest search engine contains only 300 million of these pages. As the number of Internet users and the number of accessible Web pages grows, it is becoming increasingly difficult for users to find documents that are relevant to their particular needs. Often users must browse through a large hierarchy of categories to find the information for which they are looking. To provide the user with the...

Cubesvd: A novel approach to personalized web search

J Sun — 2006-05-30T14:00:18-00:00

(2005)

As the competition of Web search market increases, there is a high demand for personalized Web search to conduct retrieval incorporating Web users' information needs. This paper focuses on utilizing clickthrough data to improve Web search. Since millions of searches are conducted everyday, a search engine accumulates a large volume of clickthrough data, which records who submits queries and which pages he/she clicks on. The clickthrough data is highly sparse and contains di#erent types of...

Persona: A contextualized and personalized Web search

F Tanudjaja — 2006-06-05T22:41:19-00:00

(2002)

Recent advances in graph-based search techniques derived from Kleinberg's work [1] have been impressive. This paper further improves the graph-based search algo- rithm in two dimensions. Firstly, variants of Kleinberg's techniques do not take into account the semantics of the query string nor of the nodes being searched. As a result, polysemy of query words cannot be resolved. This paper presents an interactive query scheme utilizing the simple web ontology provided by the Open Directory...