Web Personalization for Chinese Travel Websites

2011 ◽  
Vol 474-476 ◽  
pp. 1470-1474
Author(s):  
Shih Ming Pi
Keyword(s):  
Web Sites ◽  
User Satisfaction ◽  
Web Search ◽  
User Profile ◽  
Prototype System ◽  
Web Personalization ◽  
Travel Information ◽  
Textual Data ◽  
Single User ◽  
Browsing Behavior

In this study, we proposed a conceptual architecture of web personalization based on subject taxonomy tree and click-through analyses in order to improve the browsing efficiency and user satisfaction. In order to construct user profile, a hierarchal subject taxonomy tree of travel information was built. This tree has five attributes which represent the interests of a single user. Each user has his profile for generating personal categories while searching. The system then adjusts user profiles according to each user’s browsing behavior in order to learn different interests of each user. Textual data in Chinese travel web sites are used for experimental data and a prototype system is implemented in order to evaluate the proposed architecture. The result shows that personal classification is able to improve the outcome of browsing efficiency and user satisfaction on web search.

scholarly journals Ontology-Based Metasearch Engine in Electronics Area

2020 ◽  
Vol 9 (12) ◽  
pp. 272-277
Keyword(s):  
Search Engine ◽  
Web Sites ◽  
Digital Libraries ◽  
Search Engines ◽  
Information Needs ◽  
Web Search ◽  
User Profile ◽  
Semantic Query ◽  
User Query ◽  
Metasearch Engine

Paper The goal of search engines is to return accurate and complete results. Satisfying concrete user information needs becomes more and more difficult because of inability in it complete explicit specification and short comes of keyword-based searching and indexing. General search engines have indexed millions of web resources and often return thousands of results to the user query (most of them often inadequate). To increase result’s precession, users sometimes choose search engines, specialized in searching concrete domain, personalized or semantic search. A grand variety of specialized search engines may be found (and used) in the internet, but no one may guarantee finding of existing in the web and needed for the concrete user resources. In this paper we present our research on building a meta-search engine that uses domain and user profile ontologies, as well as information (or metadata), directly extracted from web sites to improve search result quality. We state main requirements to the search engine for students, PHD students and scientists, propose a conceptual model and discuss approaches of it practical realization. Our prototype metasearch engine first perform interactive semantic query refinement and then, using refined query, it automatically generate several search queries, sends them to different digital libraries and web search engines, augments and ranks returned results, using ontologically represented domain and user metadata. For testing our model, we develop domain ontologies in the electronic domain. We will use ontological terminology representation to propose recommendations for query disambiguation, and to ensure knowledge for reranking the returned results. We also present some partial initial implementations query disambiguation strategies and testing results.

scholarly journals Web Personalization-Improving Web Search Ranking based on User Profiling-

2006 ◽  
Vol 16 (4) ◽  
pp. 33-40
Author(s):  
Yukio HORI ◽  
Yoshiro IMAI ◽  
Takashi NAKAYAMA
Keyword(s):  
Web Search ◽  
User Profiling ◽  
Web Personalization ◽  
Web Search Ranking

Intelligent Semantics Approaches for Adaptive Web

2018 ◽  
pp. 201-220
Author(s):  
Anu Sharma ◽  
Aarti Singh
Keyword(s):  
Semantic Web ◽  
Intelligent Agents ◽  
Software Agents ◽  
User Profile ◽  
Content Management ◽  
Web Personalization ◽  
New Era ◽  
Work Done ◽  
The Web

Intelligent semantic approaches (i.e., semantic web and software agents) are very useful technologies for adding meaning to the web. Adaptive web is a new era of web targeting to provide customized and personalized view of contents and services to its users. Integration of these two technologies can further add to reasoning and intelligence in recommendation process. This chapter explores the existing work done in the area of applying intelligent approaches to web personalization and highlighting ample scope for application of intelligent agents in this domain for solving many existing issues like personalized content management, user profile learning, modelling, and adaptive interactions with users.

Web Semantics for Personalized Information Retrieval

2017 ◽  
pp. 166-186 ◽  
Author(s):  
Aarti Singh ◽  
Anu Sharma
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
Web Search ◽  
Information Overload ◽  
Software Agents ◽  
Web Personalization ◽  
Comprehensive Review ◽  
Web Technologies ◽  
Intelligent Interface

This chapter explores the synergy between Semantic Web (SW) technologies and Web Personalization (WP) for demonstrating an intelligent interface for Personalized Information Retrieval (PIR) on web. Benefits of adding semantics to WP through ontologies and Software Agents (SA) has already been realized. These approaches are expected to prove useful in handling the information overload problem encountered in web search. A brief introduction to PIR process is given, followed by description of SW, ontologies and SA. A comprehensive review of existing web technologies for PIR has been presented. Although, a huge contribution by various researchers has been seen and analyzed but still there exist some gap areas where the benefits of these technologies are still to be realized in future personalized web search.

Exploiting Collaborative Tagging Systems to Unveil the User-Experience of Web Contents

2011 ◽  
pp. 1374-1387
Author(s):  
A. Malizia ◽  
A De Angeli ◽  
S. Levialdi ◽  
I. Aedo Cuevas
Keyword(s):  
User Experience ◽  
Web Sites ◽  
User Satisfaction ◽  
Web Site ◽  
Collaborative Tagging ◽  
Computational Tool ◽  
Web Contents ◽  
Site Evaluation ◽  
Potential Use ◽  
Traditional Evaluation

The User Experience (UX) is a crucial factor for designing and enhancing the user satisfaction when interacting with a computational tool or with a system. Thus, measuring the UX can be very effective when designing or updating a Web site. Currently, there are many Web sites that rely on collaborative tagging: such systems allow users to add labels (tags) for categorizing contents. In this chapter the authors present a set of techniques for detecting the user experience through Collaborative Tagging Systems and we present an example on how to apply the approach for a Web site evaluation. This chapter highlights the potential use of collaborative tagging systems for measuring users’ satisfaction and discusses the future implications of this approach as compared to traditional evaluation tools, such as questionnaires, or interviews.

Techniques for Developing Mobile-Friendly Web Sites

2021 ◽  
pp. 1368-1378
Author(s):  
J. Christopher Sandvig
Keyword(s):  
Social Media ◽  
Mobile Devices ◽  
Web Sites ◽  
Web Search ◽  
Mobile Design ◽  
Single Column ◽  
Space Saving ◽  
Full Screen ◽  
Physical Limitations ◽  
Display Content

The growing use of mobile devices for e-commerce, news, social media, and web search has created a need for mobile-friendly web sites. Mobile sites are designed to accommodate the physical limitations of mobile devices such as small displays, touch screens, and slow download times. Mobile-friendly sites typically display content in a single column formatted to use the full screen width, utilize vertical scrolling, use smaller images, provide larger touch targets such as buttons and links, and utilize space saving navigation techniques. The objectives of this article are to describe the attributes of mobile friendly web sites, overview current popular mobile design techniques, and discuss their strengths and weaknesses.

How People Search for Governmental Information on the Web

2011 ◽  
pp. 933-939
Author(s):  
B. J. Jansen ◽  
A. Spink
Keyword(s):  
Web Sites ◽  
Search Engines ◽  
Web Search ◽  
Daily Lives ◽  
Governmental Organizations ◽  
Web Search Engines ◽  
People Search ◽  
E Mail ◽  
The U.S ◽  
The Web

People are now confronted with the task of locating electronic information needed to address the issues of their daily lives. The Web is presently the major information source for many people in the U.S. (Cole, Suman, Schramm, Lunn, & Aquino, 2003), used more than newspapers, magazines, and television as a source of information. Americans are expanding their use of the Web for all sorts of information and commercial purposes (Horrigan, 2004; Horrigan & Rainie, 2002; National Telecommunications and Information Administration, 2002). Searching for information is one of the most popular Web activities, second only to the use of e-mail (Nielsen Media, 1997). However, successfully locating needed information remains a difficult and challenging task (Eastman & Jansen, 2003). Locating relevant information not only affects individuals but also commercial, educational, and governmental organizations. This is especially true in regards to people interacting with their governmental agencies. Executive Order 13011 (Clinton, 1996) directed the U.S. federal government to move aggressively with strategies to utilize the Internet. Birdsell and Muzzio (1999) present the growing presence of governmental Web sites, classifying them into three general categories, (1) provision of information, (2) delivery of forms, and (3) transactions. In 2004, 29% of American said they visited a government Web site to contact some governmental entity, 18% sent an e-mail and 22% use multiple means (Horrigan, 2004). It seems clear that the Web is a major conduit for accessing governmental information and maybe services. Search engines are the primary means for people to locate Web sites (Nielsen Media, 1997). Given the Web’s importance, we need to understand how Web search engines perform (Lawrence & Giles, 1998) and how people use and interact with Web search engines to locate governmental information. Examining Web searching for governmental information is an important area of research with the potential to increase our understanding of users of Web-based governmental information, advance our knowledge of Web searchers’ governmental information needs, and positively impact the design of Web search engines and sites that specialize in governmental information.

The Grid Menu: Efficient and Robust Selection of Menu-Items

2002 ◽  
Vol 46 (14) ◽  
pp. 1281-1285
Author(s):  
Hong-In Cheng ◽  
Patrick E. Patterson
Keyword(s):  
Web Sites ◽  
User Satisfaction ◽  
User Preference ◽  
User Friendliness ◽  
Menu Item ◽  
Menu Choice ◽  
Large Numbers ◽  
Business Web ◽  
User Friendly ◽  
Selection Of

With the increasing use of e-business web sites, users are often asked to select a menu-item from a large numbers of options. In this research, the pull-down menu, fisheye menu and grid menu were tested to compare the performance time, error rate, user satisfaction, simplicity, user friendliness, usefulness, and overall user preference of each menu type. The grid menu was more efficient in selection speed than the pull-down and fisheye menus when the number of menu-items was 50 and 100. The time needed to choose a menu-item with a grid menu was less affected by the size of menu and the physical location of an item within a menu. The pull-down and the grid menus were considered to be more satisfactory, simple, user friendly, and useful than the fisheye menu. 42.3 percent of subjects indicated that the grid menu was their preferred selection tool among the menus. The grid menu is an efficient and robust alternative menu choice for small and middle size menu lists.

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