Content-Determined Web Page Segmentation and Navigation for Mobile Web Searching

2021 ◽  
pp. 88-108
Keyword(s):  
Web Pages ◽  
Web Searching ◽  
Web Page ◽  
Page Segmentation ◽  
Web Browser ◽  
Mobile Web ◽  
Desktop Computers ◽  
Equal Importance ◽  
Web Contents ◽  
Music Player

Nowadays the usage of mobile phones is widely spread in our lifestyle; we use cell phones as a camera, a radio, a music player, and even as a web browser. Since most web pages are created for desktop computers, navigating through web pages is highly fatigued. Hence, there is a great interest in computer science to adopt such pages with rich content into small screens of our mobile devices. On the other hand, every web page has got many different parts that do not have the equal importance to the end user. Consequently, the authors propose a mechanism to identify the most useful part of a web page to a user regarding his or her search query while the information loss is avoided. The challenge here comes from the fact that long web contents cannot be easily displayed in both vertical and horizontal ways.

Semi-Automatic Online Tagging with K-Medoid Clustering

2014 ◽  
Vol 24 (08) ◽  
pp. 1115-1130 ◽  
Author(s):  
He Hu ◽  
Xiaoyong Du
Keyword(s):  
Clustering Algorithm ◽  
Prototype System ◽  
Web Pages ◽  
Web Page ◽  
Web Browser ◽  
User Input ◽  
Browser Extension ◽  
Annotation Process ◽  
Efficiency And Effectiveness ◽  
Automatic Mechanism

Online tagging is crucial for the acquisition and organization of web knowledge. We present TYG (Tag-as-You-Go) in this paper, a web browser extension for online tagging of personal knowledge on standard web pages. We investigate an approach to combine a K-Medoid-style clustering algorithm with the user input to achieve semi-automatic web page annotation. The annotation process supports user-defined tagging schema and comprises an automatic mechanism that is built upon clustering techniques, which can automatically group similar HTML DOM nodes into clusters corresponding to the user specification. TYG is a prototype system illustrating the proposed approach. Experiments with TYG show that our approach can achieve both efficiency and effectiveness in real world annotation scenarios.

Annotation and Auto-Scrolling for Web Page Overview in Mobile Web Browsing

2012 ◽  
pp. 324-340
Author(s):  
Yuki Arase ◽  
Takahiro Hara ◽  
Toshiaki Uemukai ◽  
Shojiro Nishio
Keyword(s):  
Mobile Phones ◽  
Web Pages ◽  
Web Browsing ◽  
Web Page ◽  
Effective Technique ◽  
Mobile Web ◽  
User Experiment

Due to advances in mobile phones, mobile Web browsing has become increasingly popular. In this regard, small screens and poor input capabilities of mobile phones prevent users from comfortably browsing Web pages that are designed for desktop PCs. One of the serious problems of mobile Web browsing is that users often get lost in a Web page and can only view a small portion of a Web page at a time, not able to grasp the entire page’s structure to decide which direction their information of interest is located. To solve this problem, an effective technique is to present an overview of the page. Although prior studies adopted the conventional style of overview, that is, a scaled-down image of the page, this is not sufficient because users cannot see details of the contents. Therefore, in this paper, the authors present annotations on a Web page that provides a functionality which automatically scrolls the page. Results of a user experiment show that annotations are informative for users who want to find contents from a large Web page.

scholarly journals Recognize Flexible Malevolent Web pages in Real Time

2019 ◽  
Vol 8 (11S) ◽  
pp. 877-881
Keyword(s):  
Web Sites ◽  
Mobile Internet ◽  
Web Pages ◽  
Web Page ◽  
Web Browser ◽  
Assessment Technique ◽  
Browser Extension ◽  
Information Strategies ◽  
Mobile Information ◽  
Cellular Mobile

Mobile precise internet web sites dissent drastically from their computer laptop equivalents in cloth, format and functionality. Sooner or later, present techniques to sight detrimental net internet internet sites rectangular movement now not probably to determine for such webpages. During this paper, we often typically have a propensity to format and exercising paintings over, a mechanism that distinguishes amongst terrible and benign mobile net net web sites. Activity over makes this energy of will supported normal picks of a net internet web page beginning with the quantity of iframes to the life of identified dishonourable cellular mobile cellphone numbers. First, we have a tendency to via attempting out show the requirement for mobile information strategies so installation a spread of new regular options that very correlate with cellular malicious pages. We will be predisposed to then use work over to a dataset of over 350,000 famous benign similarly to volatile cellular webpages and show 90th accuracy in splendor. In addition, we frequently normally normally have a tendency to discover, end up aware of and furthermore document choice of websites incomprehensible through Google Safe Surfing and furthermore Virus Total, however decided through art work over. Lastly, we will be inclined to growth a web browser extension victimization undertaking over to comfortable customers from damaging mobile internet web sites in length. In doing consequently, we provide the number one everyday assessment technique to view volatile cellular webpages

Web Mining by Automatically Organizing Web Pages into Categories

2011 ◽  
pp. 214-231 ◽  
Author(s):  
Ben Choi
Keyword(s):  
Artificial Intelligence ◽  
Web Mining ◽  
Clustering Algorithm ◽  
Constant Factor ◽  
Web Pages ◽  
Web Page ◽  
Number Of Clusters ◽  
Web Contents ◽  
Web Page Clustering ◽  
The Web

Web mining aims for searching, organizing, and extracting information on the Web and search engines focus on searching. The next stage of Web mining is the organization of Web contents, which will then facilitate the extraction of useful information from the Web. This chapter will focus on organizing Web contents. Since a majority of Web contents are stored in the form of Web pages, this chapter will focus on techniques for automatically organizing Web pages into categories. Various artificial intelligence techniques have been used; however the most successful ones are classification and clustering. This chapter will focus on clustering. Clustering is well suited for Web mining by automatically organizing Web pages into categories each of which contain Web pages having similar contents. However, one problem in clustering is the lack of general methods to automatically determine the number of categories or clusters. For the Web domain, until now there is no such a method suitable for Web page clustering. To address this problem, this chapter describes a method to discover a constant factor that characterizes the Web domain and proposes a new method for automatically determining the number of clusters in Web page datasets. This chapter also proposes a new bi-directional hierarchical clustering algorithm, which arranges individual Web pages into clusters and then arranges the clusters into larger clusters and so on until the average inter-cluster similarity approaches the constant factor. Having the constant factor together with the algorithm, this chapter provides a new clustering system suitable for mining the Web.

Technologies and Systems for Web Content Adaptation

2010 ◽  
pp. 263-278 ◽  
Author(s):  
Wen-Chen Hu ◽  
Naima Kaabouch ◽  
Hung-Jen Yang ◽  
Weihong Hu
Keyword(s):  
Ad Hoc ◽  
Handheld Devices ◽  
Web Pages ◽  
Web Content ◽  
Page Segmentation ◽  
Mobile Web ◽  
Clear Cut ◽  
Network Bandwidth ◽  
Notebook Computers ◽  
Arduous Task

The world has witnessed the blossom of mobile commerce in the past few years. Traditional Web pages are mainly designed for desktop or notebook computers. They usually do not suit the devices well because the pages, especially the large files, cannot be properly, speedily displayed on the microbrowsers due to the limitations of mobile handheld devices: (i) small screen size, (ii) narrow network bandwidth, (iii) low memory capacity, and (iv) limited computing power and resources. Therefore, loading and visualizing large documents on handheld devices become an arduous task. Various methods are created for browsing the mobile Web efficiently and effectively. This chapter investigates some of the methods: (i) page segmentation, (ii) component ranking, and (iii) other ad hoc methods. Though each method employs a different strategy, their goals are the same: conveying the meaning of Web pages by using minimum space. The major problem of the current methods is that it is not easy to find the clear-cut components in a Web page. Other related issues such as mobile handheld devices and microbrowsers will also be discussed in this chapter.

scholarly journals Nessi: An EEG-Controlled Web Browser for Severely Paralyzed Patients

2007 ◽  
Vol 2007 ◽  
pp. 1-5 ◽  
Author(s):  
Michael Bensch ◽  
Ahmed A. Karim ◽  
Jürgen Mellinger ◽  
Thilo Hinterberger ◽  
Michael Tangermann ◽  
...  
Keyword(s):  
Self Regulation ◽  
Web Pages ◽  
Web Page ◽  
Slow Cortical Potentials ◽  
Web Browser ◽  
Brain Responses ◽  
Wide Range ◽  
Alphabetical List ◽  
E Mail ◽  
Opening Up

We have previously demonstrated that an EEG-controlled web browser based on self-regulation of slow cortical potentials (SCPs) enables severely paralyzed patients to browse the internet independently of any voluntary muscle control. However, this system had several shortcomings, among them that patients could only browse within a limited number of web pages and had to select links from an alphabetical list, causing problems if the link names were identical or if they were unknown to the user (as in graphical links). Here we describe a new EEG-controlled web browser, called Nessi, which overcomes these shortcomings. In Nessi, the open source browser, Mozilla, was extended by graphical in-place markers, whereby different brain responses correspond to different frame colors placed around selectable items, enabling the user to select any link on a web page. Besides links, other interactive elements are accessible to the user, such as e-mail and virtual keyboards, opening up a wide range of hypertext-based applications.

An Approach of Web Page Information Extraction

2013 ◽  
Vol 347-350 ◽  
pp. 2479-2482
Author(s):  
Yao Hui Li ◽  
Li Xia Wang ◽  
Jian Xiong Wang ◽  
Jie Yue ◽  
Ming Zhan Zhao
Keyword(s):  
Information Extraction ◽  
Search Engine ◽  
Information Source ◽  
Web Pages ◽  
Web Page ◽  
Extraction Technology ◽  
Page Segmentation ◽  
The Web

The Web has become the largest information source, but the noise content is an inevitable part in any web pages. The noise content reduces the nicety of search engine and increases the load of server. Information extraction technology has been developed. Information extraction technology is mostly based on page segmentation. Through analyzed the existing method of page segmentation, an approach of web page information extraction is provided. The block node is identified by analyzing attributes of HTML tags. This algorithm is easy to implementation. Experiments prove its good performance.

IMPROVED WEB PAGE IDENTIFICATION METHOD USING NEURAL NETWORKS

2011 ◽  
Vol 10 (01) ◽  
pp. 87-114 ◽  
Author(s):  
ALI SELAMAT ◽  
ZHI SAM LEE ◽  
MOHD AIZAINI MAAROF ◽  
SITI MARIYAM SHAMSUDDIN
Keyword(s):  
Neural Networks ◽  
Feature Selection ◽  
Weighting Scheme ◽  
Web Pages ◽  
Web Page ◽  
Term Weighting ◽  
Web Documents ◽  
Web Contents ◽  
Feature Selection Approach ◽  
The Web

In this paper, an improved web page classification method (IWPCM) using neural networks to identify the illicit contents of web pages is proposed. The proposed IWPCM approach is based on the improvement of feature selection of the web pages using class based feature vectors (CPBF). The CPBF feature selection approach has been calculated by considering the important term's weight for illicit web documents and reduce the dependency of the less important term's weight for normal web documents. The IWPCM approach has been examined using the modified term-weighting scheme by comparing it with several traditional term-weighting schemes for non-illicit and illicit web contents available from the web. The precision, recall, and F1 measures have been used to evaluate the effectiveness of the proposed IWPCM approach. The experimental results have shown that the proposed improved term-weighting scheme has been able to identify the non-illicit and illicit web contents available from the experimental datasets.

scholarly journals Less users more confidence: How AOIs don’t affect scanpath trend analysis

2017 ◽  
Vol 10 (4) ◽  
Author(s):  
Sukru Eraslan ◽  
Yeliz Yesilada ◽  
Simon Harper
Keyword(s):  
Eye Tracking ◽  
Trend Analysis ◽  
User Studies ◽  
Web Pages ◽  
Web Page ◽  
Page Segmentation ◽  
Visual Elements ◽  
Segmentation Approach ◽  
Areas Of Interest

User studies are typically difficult, recruiting enough users is often problematic and each experiment takes a considerable amount of time to be completed. In these studies, eye tracking is increasingly used which often increases time, therefore, the lower the number of users required for these studies the better for making these kinds of studies more practical in terms of economics and time expended. The possibility of achieving almost the same results with fewer users has already been raised. Specifically, the possibility of achieving 75% similarity to the results of 65 users with 27 users for searching tasks and 34 users for browsing tasks has been observed in scanpath trend analysis which discovers the most commonly followed path on a particular web page in terms of its visual elements or areas of interest (AOIs). Different approaches are available to segment or divide web pages into their visual elements or AOIs. In this paper, we investigate whether the possibility raised by the previous work is restricted to a particular page segmentation approach by replicating the experiments with two other segmentation approaches. The results are consistent with ~5% difference for the searching tasks and ~10% difference for the browsing tasks.

Web Page Adaptation and Presentation for Mobile Phones

2010 ◽  
pp. 240-262 ◽  
Author(s):  
Yuki Arase ◽  
Takahiro Hara ◽  
Shojiro Nishio
Keyword(s):  
Mobile Phones ◽  
Mobile Commerce ◽  
Web Pages ◽  
Web Browsing ◽  
Web Page ◽  
Mobile Web ◽  
Large Displays ◽  
Key Technologies ◽  
Getting Lost ◽  
The Web

According to the explosive growth of mobile phones, mobile Web has been a part of our life. People can access the Web with their mobile phones and obtain information anywhere and anytime. This trend will stimulate the coming of mobile commerce, where people look for and purchase products on the Web whenever they want. Mobile Web is one of the key technologies for mobile commerce. However, since mobile phones have to be handheld, their interface is strictly limited. Users have to browse large-sized Web pages designed for large displays with a small screen and poor input capability of mobile phones. Additionally, considering mobile users browse Web pages in various situations, users’ needs towards presentation functionalities may different depending on their browsing situations. To provide comfortable Web browsing experience under these constraints, we have proposed two systems for mobile phone users. One system provides various presentation functions for Web browsing so that users can select appropriate ones based on their browsing situations. The other system provides functions to navigate users within a Web page so that they can find the information of their interest without getting lost in the page. In this chapter, we briefly introduce designs of these systems and introduce results of user experiments, through which we show that our systems can reduce users’ burden on mobile Web by enabling to select appropriate presentation functions adapted to their situations and by navigating them on a large Web page with the entertaining interface.

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