MAb Colorado home page web page

A home page is the gateway to an organization's Web site. To design effective Web home pages, it is necessary to understand the fundamental drivers of user's perception of Web pages. Not only do designers have to understand potential users' frame of mind, they also have at their choosing a stupefying array of attributes – including numerous font types, audio, video, and graphics – all of which can be arranged on a page in different ways, compounding the complexity of the design task. A theoretical model capable of explaining user reactions at a molar level should be invaluable to Web designers as a complement to prevalent intuitive and heuristic approaches. Such a model transcends piecemeal page attributes to focus on overall Web page perceptions of users. Reasoning that people perceive the cyberspace of Web pages in ways similar to their perception of physical places, we use Kaplan and Kaplan's informational model of place perception from the field of environmental psychology to predict that only two dimensions: understanding of information on a Web page, and the involvement potential of a Web page, should adequately capture Web page perception at a molar level. We empirically verify the existence of these dimensions and develop valid scales for measuring them. Using a home page as a stimulus in a lab experiment, we find that understanding and involvement together account for a significant amount of the variance in the attitude toward the Web page and in the intention to browse the underlying Web site. We show that the informational model is a parsimonious and powerful theoretical framework to measure users' perceptions of Web home pages and it could potentially serve as a guide to Web page design and testing efforts.

Websites of note

Web pages are usually unstructured and Information Extraction from them is not trivial. In the paper we describe the process of Information Extraction on the example of researchers’ home pages. For this reason we applied SVM, CRF, and MLN models. Performed analysis concerns texts in English language only.

In the past decade, academic libraries have struggled with the design of an effective library home page. Since librarians' mental models of information architecture differ from those of their patrons, usability assessments are necessary in designing a user-centered home page. This study details a usability sequence of card sort and paper and online survey methods conducted at the Auraria Library, which serves the University of Colorado Denver, the Metropolitan State College of Denver, and the Community College of Denver. The three top complaints about the existing Web page included information overload, lack of visual cues and guidance, and difficulty getting to what students knew was the heart of the library's Web page: online resources. Using qualitative and quantitative data from the card sorting sessions, the Web librarian, under the direction of the Web Advisory Committee, was able to create a more user-centered home page. Unique to this study are the use of undergraduate students in creating test instruments and a means of gathering information about what students value most in their library's home page.

How can search engines use the hyperlinks between documents to determine which documents are the most relevant for a search query? Some search engines use links to determine popularity, where the underlying idea is that the number of links pointing to a document (Web page) is a measure of its popularity. Another aspect of links is they provide a signal that two documents have related content. After all, a link is a reference. If a document A is relevant for a search query, then documents linked to A are possibly also relevant. Link information could possibly contain evidence for the topical relevance of a document. The value of link evidence for ir was investigated through the trec Web Tracks of 1999--2004. First through the traditional ad hoc search methodology, with disappointing results. When ad hoc search was considered an inappropriate model for Web search, attention moved to moreWeb-centric search tasks such as navigational search, with great success. Home pages and other importantWeb pages tend to be pages with many incoming links, and link evidence such as indegree counts and PageRank proved highly effective. The question of why links are not useful for measuring topical relevance was never answered. The goal of this thesis is to give a more precise and complete account of the value of link evidence for information retrieval. This is first investigated using the English Wikipedia, because it is available in its entirety, including all the links, and comes with a large, highquality test collection in the form of the inex Ad Hoc collection of 2006--2007. As an encyclopedia, Wikipedia is a natural collection to study topical relevance search tasks. Link information can be derived from the link graph of the entire collection--giving global, query-independent information--or from a subset of the link graph derived from the top results for a given query produced by a text-based retrieval system, giving local, queryindependent link information. PageRank is often computed on the global link graph, while algorithms like hits are typically used on the local links of the top-ranked results. We find that for ad hoc search on the inex 2006 Wikipedia collection, local link evidence leads to significant performance improvements. Incoming and outgoing link information is equally effective; the direction of the links does not affect their value for ad hoc search. We compare this to Web-centric search tasks on the trec 2004 Web track collection and to the ad hoc task on the trec 2009 Web track collection. For Web-centric search tasks, such as home page and named page finding, incoming link evidence is more effective than outgoing link evidence, and global link evidence is more effective than local link evidence. The value of link evidence for Web-centric search is to identify popular and authoritative pages, and the link direction determines the value. For ad hoc search on the more recent ClueWeb09 collection, global outgoing link evidence is very effective, but turns out to favour Wikipedia pages, which are densely interlinked. If we remove Wikipedia from the ClueWeb09 collection, local link evidence is more effective than global link evidence, and incoming and outgoing link evidence are equally effective. We also find that site-internal links are more effective for ad hoc search than site-external links. To determine the impact of link density, we conduct filtering experiments, which show that link density has a minimal impact on the effectiveness of global link evidence. For local link evidence, removing links gradually reduces the impact of link evidence, but even with a small number of links, link evidence is still effective. We also experiment with filtering links based on the semantic relatedness of the link documents and find that links between semantically related pages are more effective for identifying topically relevant documents than links between unrelated pages. Further experiments on the inex Wikipedia collection show that the amount of local link evidence is related to the amount of relevant text in documents, and the fraction of local link evidence (the percentage of the global links incident to a document that are present in the local link graph) is related to the fraction of text in a document that is relevant. With these findings, the value of link information for ranking search results has become clearer and more complete. Link information can be evidence for both popularity and topical relevance. The meaning of information derived from the link structure is determined by the direction of the links, the topical relation between the linked documents and the selection of links that is used as evidence. Available at http://staff.science.uva.nl/~mhakoole/2011/kool:mean11.pdf.

Consider a rooted tree T of arbitrary maximum degree d representing a collection of n web pages connected via a set of links, all reachable from a source home page represented by the root of T. Each web page i carries a probability p i representative of the frequency with which it is visited. By adding hotlinks—shortcuts from a node to one of its descendents—we wish to minimize the expected number of steps l needed to visit pages from the home page, expressed as a function of the entropy H(p) of the access probabilities p. This paper introduces several new strategies for effectively assigning hotlinks in a tree. For assigning exactly one hotlink per node, our method guarantees an upper bound on l of 1.141H(p)+1 if d>2 and 1.08H(p)+2/3 if d=2. We also present the first efficient general methods for assigning at most k hotlinks per node in trees of arbitrary maximum degree, achieving bounds on l of at most $\frac{2H(p)}{\log(k+1)}+1$ and $\frac{H(p)}{\log(k+d)-\log d}+1$ , respectively. All our methods are strong, i.e., they provide the same guarantees on all subtrees after the assignment. We also present an algorithm implementing these methods in O(nlog n) time, an improvement over the previous O(n 2) time algorithms. Finally we prove a Ω(nlog n) lower bound on the running time of any strong method that guarantee an average access time strictly better than 2H(p).

Web sites provide a tremendous opportunity to learn more about the interests of customers, whether those customers are potential buyers visiting a commercial site, students browsing a university's Web page, or citizens logging onto a city's home page. In conjunction with cookie, registration, platform, and access information, we can learn a great deal about users by tracking their item-by-item click histories-or clickstreams. We can then use this information to customize sites dynamically and target ads for higher click-through rates. Maybe. Stripped of all the hype and the buzzwords, inferring the interests and preferences of site visitors is a market research problem. It is a market research problem with some very challenging data management and statistical analysis issues. And unless we address the basic tenets of market research-including the fundamentals of data analysis-site analysis can turn out to be a tremendous loss of time and money as well as a missed opportunity for using some valuable information.

Purpose The purpose of this paper is to identify important principles which should be applied to electronic library websites to make them usable for all people. Design/methodology/approach The goal of this paper was to make the simplified user interface of Hungarian Electronic Library (VMEK) more accessible and usable by leveraging the latest technologies, standards and recommendations. Vision-impaired and motor-disabled people were also involved in brainstorming and collecting ideas during the design phase and in testing the implemented website. Findings This paper showed that the perspicuity of the Web page is greatly improved by semantically correct HTML codes, clearly defined links and alt attributes, hotkeys and typographic principles. Practical implications The paper presents the design principles of electronic library Web pages which can be applied by Web developers and content managers. The paper identifies design principles, which improve the perspicuity of user interfaces to a great extent (especially in the case of blind users); draws attention to the typographic principles, which promote reading and understanding documents; and recommends guidelines for developing electronic library home pages and managing the content of these home pages. Originality/value This paper bridges the gap between the information and library science field and the Web accessibility and usability field. Based on brainstorming results where people with various kinds of disabilities were involved, the paper gives 11 recommendations which should be taken into account while designing and developing electronic library websites to ensure equal access to their services and documents.

WWW has developed rapidly, and it is becoming easy to make personal web sites. In general, we create and edit web pages by using a HTML authoring software or writing HTML source codes in a text editor. Then, we need to upload them to a web server. When we make and build our own web pages by the existing tools, it takes a lot of time and effort to complete the necessary tasks. In this paper, we propose a home page authoring support system in which we directly edit and make web pages on a web browser. Current experimental results demonstrate that our system can effectively support novices to create their web pages. Also, we show two real-world applications that effectively utilize our system.

Corporate Social Responsibility in Poland: Businesses’ Self-Presentations

University of Virginia School of Medicine.

This article identifies student (N = 102) and faculty (N = 84) attitudes regarding desired content for a faculty Web page. The majority of students and faculty agreed that faculty should include the following on a Web page: an e-mail address, office hours, telephone number, course syllabi, courses offered, research interests, educational background, links both within and outside of the institution, professional experience, publications, academic advising information, professional memberships, and a picture of the faculty member. A random sample of faculty Web pages (N = 149) showed that most faculty sites, although containing valued information, fell short of faculty and student expectations. Psychology faculty can use these findings to develop more effective Web pages.

Protein folding: Web alert

Rôle du cahier des charges et de l’évaluation de sites web sur l’effet de conformité à travers la gestion de contraintes et la qualité ergonomique de pages web

The DFCI Gene Index Web pages provide access to analyses of ESTs and gene sequences for nearly 114 species, as well as a number of resources derived from these. Each species-specific database is presented using a common format with a home page. A variety of methods exist that allow users to search each species-specific database. Methods implemented currently include nucleotide or protein sequence queries using WU-BLAST, text-based searches using various sequence identifiers, searches by gene, tissue and library name, and searches using functional classes through Gene Ontology assignments. This protocol provides guidance for using the Gene Index Databases to extract information.