Capabilities Of Search Engines Research Articles

Development of a Supportive Parenting App to Improve Parent and Infant Outcomes in the Perinatal Period: Development Study.

BackgroundThe transition to parenthood can be challenging, and parents are vulnerable to psychological disorders during the perinatal period. This may have adverse long-term consequences on a child’s development. Given the rise in technology and parents’ preferences for mobile health apps, a supportive mobile health intervention is optimal. However, there is a lack of a theoretical framework and technology-based perinatal educational intervention for couples with healthy infants.ObjectiveThe aim of this study is to describe the Supportive Parenting App (SPA) development procedure and highlight the challenges and lessons learned.MethodsThe SPA development procedure was guided by the information systems research framework, which emphasizes a nonlinear, iterative, and user-centered process involving 3 research cycles—the relevance cycle, design cycle, and rigor cycle. Treatment fidelity was ensured, and team cohesiveness was maintained using strategies from the Tuckman model of team development.ResultsIn the relevance cycle, end-user requirements were identified through focus groups and interviews. In the rigor cycle, the user engagement pyramid and well-established theories (social cognitive theory proposed by Bandura and attachment theory proposed by Bowlby) were used to inform and justify the features of the artifact. In the design cycle, the admin portal was developed using Microsoft Visual Studio 2017, whereas the SPA, which ran on both iOS and Android, was developed using hybrid development tools. The SPA featured knowledge-based content, informational videos and audio clips, a discussion forum, chat groups, and a frequently asked questions and expert advice section. The intervention underwent iterative testing by a small group of new parents and research team members. Qualitative feedback was obtained for further app enhancements before official implementation. Testing revealed user and technological issues, such as web browser and app incompatibility, a lack of notifications for both administrators and users, and limited search engine capability.ConclusionsThe information systems research framework documented the technical details of the SPA but did not take into consideration the interpersonal and real-life challenges. Ineffective communication between the health care research team and the app developers, limited resources, and the COVID-19 pandemic were the main challenges faced during content development. Quick adaptability, team cohesion, and hindsight budgeting are crucial for intervention development. Although the effectiveness of the SPA in improving parental and infant outcomes is currently unknown, this detailed intervention development study highlights the key aspects that need to be considered for future app development.

Tag recommendation by text classification with attention-based capsule network

Tag recommendation has been attracting much attention with the growth of digital resources. The goal of a tag recommendation system is to provide a set of tags for a piece of text to ease the tagging process done manually by a user. These tags have been shown to enhance the capabilities of search engines for navigating, organizing and searching content. However, tag text manually is time-consuming and labor-intensive. In this paper, we introduce a tag recommendation by text classification. We explore the capsule network with dynamic routing for the tag recommendation task. The capsule network encodes the intrinsic spatial relationship between a part and a whole constituting viewpoint invariant knowledge that automatically generalizes to novel viewpoints. In addition, an attention mechanism is incorporated into the capsule network to distill important information from the input documents. We conduct extensive experiments on large publication datasets to evaluate the effectiveness of our model. The experimental results demonstrate that our model substantially outperforms the compared baseline methods and achieves the state-of-the-art results.

Fine-grained document clustering via ranking and its application to social media analytics

Extracting valuable insights from a large volume of unstructured data such as texts through clustering analysis is paramount to many big data applications. However, document clustering is challenged by the computational complexity of the underlying methods and the high dimensionality of data, especially when the number of required clusters is large. A fine-grained clustering solution is required to understand a data set that represents heterogeneous topics such as social media data. This paper presents the Fine-Grained document Clustering via Ranking (FGCR) approach which leverages the search engine capability of handling big data efficiently. Ranking scores from a search engine are used to calculate dynamic clusters’ representations called loci in an unsupervised learning setting. Clustering decisions are efficiently made based on an optimal selection from a small subset of loci instead of the entire cluster set as in the conventional centroid-based clustering. A comprehensive empirical study on several social media data sets shows that FGCR is able to produce insightful and accurate fine-grained solution. Moreover, it is magnitudes faster and requires less computational resources compared to other state-of-the-art document clustering approaches.

Rediseño de intranets corporativas y debates que se reavivan: menús vs buscadores

Many companies are addressing the redesign of their corporate intranet. There is an open discussion on the use of search engines compared to navigation menus; those subjects were already discussed in the 90s, with the first intranet generation. In our judgement, the great improvements in search engine capabilities do not replace the need for good classification and taxonomy structures in intranet architecture.

Wearable Computing System with Input-Output Devices Based on Eye-Based Human Computer Interaction Allowing Location Based Web Services

Wearable computing with Input-Output devices Base on Eye-Based Human Computer Interaction: EBHCI which allows location based web services including navigation, location/attitude/health condition monitoring is proposed. Through implementation of the proposed wearable computing system, all the functionality is confirmed. It is also found that the system does work well. It can be used easily and also is not expensive. Experimental results for EBHCI show excellent performance in terms of key-in accuracy as well as input speed. It is accessible to internet, obviously, and has search engine capability.

Making SharePoint® Chemically Aware™

BackgroundThe use of SharePoint® collaboration software for content management has become a critical part of today's drug discovery process. SharePoint 2010 software has laid a foundation which enables researchers to collaborate and search on various contents. The amount of data generated during a transition of a single compound from preclinical discovery to commercialization can easily range in terabytes, thus there is a greater demand of a chemically aware search algorithm that supplements SharePoint which enables researchers to query for information in a more intuitive and effective way. Thus by supplementing SharePoint with Chemically Aware™ features provides a great value to the pharmaceutical and biotech companies and makes drug discovery more efficient. Using several tools we have integrated SharePoint with chemical, compound, and reaction databases, thereby improving the traditional search engine capability and enhancing the user experience.ResultsThis paper describes the implementation of a Chemically Aware™ system to supplement SharePoint. A Chemically Aware SharePoint (CASP) allows users to tag documents by drawing a structure and associating it with the related content. It also allows the user to search SharePoint software content and internal/external databases by carrying out substructure, similarity, SMILES, and IUPAC name searches. Building on traditional search, CASP takes SharePoint one step further by providing a intuitive GUI to the researchers to base their search on their knowledge of chemistry than textual search. CASP also provides a way to integrate with other systems, for example a researcher can perform a sub-structure search on pdf documents with embedded molecular entities.ConclusionA Chemically Aware™ system supplementing SharePoint is a step towards making drug discovery process more efficient and also helps researchers to search for information in a more intuitive way. It also helps the researchers to find information which was once difficult to find by allowing one to tag documents with molecular entities and integrating with image recognition software to find information from pdf documents.

Next-Generation Piracy: How Search Engines Will Destroy the Music Business

This Comment seeks to address the problems that search engines create for the music business in our ever-evolving digital society. Piracy costs are now measured in billions, encompassing lost revenue and job cutbacks. As the world becomes even more dependent on the Internet for entertainment, piracy can only get worse. Although in the United States piracy has been addressed with respect to P2P file sharing services, record companies are coming upon an era where search engines will enable effective, quick, and simple piracy. This evolution has already taken hold in China, a country where 99 percent of music files are estimated to be pirated, and copyright infringement is as easy as typing a song name into a specialized search engine. The problem is slowly starting to be felt domestically. Although Supreme Court precedents have addressed the issues of P2P file sharing, current statutes and decisions are unequipped to deal with the next generation of search engines. This Comment argues that although search engines might be held responsible for some of their contributions to piracy through the court system, ultimately, the fundamentals which make up the business model of music companies must change. Statutes, court decisions, and society are comfortable allowing an open and unrestricted Internet, ensuring that search engine capabilities will not be curbed As the digital age progresses, recording companies will bleed money until they are faced with a choice: adapt or die. This Comment proposes that to survive, recording companies must delve deep into alternative revenue streams, leaving behind their pursuit of pure music in the process. Ultimately, pure music as an art form will vanish.

An analysis of web proxy logs with query distribution pattern approach for search engines

This study presents an analysis of users' queries directed at different search engines to investigate trends and suggest better search engine capabilities. The query distribution among search engines that includes spawning of queries, number of terms per query and query lengths is discussed to highlight the principal factors affecting a user's choice of search engines and evaluate the reasons of varying the length of queries. The results could be used to develop long to short term business plans for search engine service providers to determine whether or not to opt for more focused topic specific search offerings to gain better market share.

Clinician Search Behaviors May Be Influenced by Search Engine Design

BackgroundSearching the Web for documents using information retrieval systems plays an important part in clinicians’ practice of evidence-based medicine. While much research focuses on the design of methods to retrieve documents, there has been little examination of the way different search engine capabilities influence clinician search behaviors.ObjectivesPrevious studies have shown that use of task-based search engines allows for faster searches with no loss of decision accuracy compared with resource-based engines. We hypothesized that changes in search behaviors may explain these differences.MethodsIn all, 75 clinicians (44 doctors and 31 clinical nurse consultants) were randomized to use either a resource-based or a task-based version of a clinical information retrieval system to answer questions about 8 clinical scenarios in a controlled setting in a university computer laboratory. Clinicians using the resource-based system could select 1 of 6 resources, such as PubMed; clinicians using the task-based system could select 1 of 6 clinical tasks, such as diagnosis. Clinicians in both systems could reformulate search queries. System logs unobtrusively capturing clinicians’ interactions with the systems were coded and analyzed for clinicians’ search actions and query reformulation strategies. ResultsThe most frequent search action of clinicians using the resource-based system was to explore a new resource with the same query, that is, these clinicians exhibited a “breadth-first” search behaviour. Of 1398 search actions, clinicians using the resource-based system conducted 401 (28.7%, 95% confidence interval [CI] 26.37-31.11) in this way. In contrast, the majority of clinicians using the task-based system exhibited a “depth-first” search behavior in which they reformulated query keywords while keeping to the same task profiles. Of 585 search actions conducted by clinicians using the task-based system, 379 (64.8%, 95% CI 60.83-68.55) were conducted in this way.ConclusionsThis study provides evidence that different search engine designs are associated with different user search behaviors.

Improved Corporate Search Engine for the National (Australian) Spatial Information Management System: Case Study

AbstractPaper presents case study of the evolution of the National Spatial Information Management System (NSIMS). It also describes trade‐off analysis approach used to compare different Search Engines for NSIMS. Paper addresses design considerations of the Improved Corporate Search Engine (ICSE) recently developed in Australia. The architecture of the NSIMS has been described, as well as existing search engine capabilities and limitations. Two key areas for search engine improvements have been identified: (1) search context information usage for data relevance criteria application in a search algorithm; (2) user interfaces for entering search requests and query results presentations. Paper presents technical details of ICSE implementation and discussion of characteristics of the proposed improvements in the identified areas. Practical evaluation technique of the search engine efficiency has been proposed and results of trade‐off analysis discussed.Paper sections: National Spatial Information System Overview Existing Search Engine Capabilities and NSIMS Limitations The Research Problem and Solution Approach System and Data Analysis Trade‐off Study between Existing and Proposed Search Engine Conclusion

Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data Mining

We consider linguistic database summaries in the sense of Yager (1982), in an implementable form proposed by Kacprzyk & Yager (2001) and Kacprzyk, Yager & Zadrozny (2000), exemplified by, for a personnel database, “most employees are young and well paid” (with some degree of truth) and their extensions as a very general tool for a human consistent summarization of large data sets. We advocate the use of the concept of a protoform (prototypical form), vividly advocated by Zadeh and shown by Kacprzyk & Zadrozny (2005) as a general form of a linguistic data summary. Then, we present an extension of our interactive approach to fuzzy linguistic summaries, based on fuzzy logic and fuzzy database queries with linguistic quantifiers. We show how fuzzy queries are related to linguistic summaries, and that one can introduce a hierarchy of protoforms, or abstract summaries in the sense of latest Zadeh’s (2002) ideas meant mainly for increasing deduction capabilities of search engines. We show an implementation for the summarization of Web server logs.

Knowledge Transfer

Knowledge transfer has been an important issue for organizational knowledge management programs. This article reviews the plethora of user-generated video activity and the issues it creates for knowledge management activities. Video’s media richness combined with its ability to convey rich narratives can facilitate sensemaking and learning. However, structure and culture are important factors that must be considered in story telling activities to increase the opportunity for effective sensemaking and message retention. Evidence and arguments are presented that should motivate organizations and academics to review video generation activities both internal and external to the organization. Issues concerning video content delivery, liability, spam, and search engine capabilities are discussed. Opportunities for new research inquiries are identified.

Dissertation Writing with Automated Citation and Bibliography Tools: A Case of Post-Graduate Culture Shock

Online technologies for document creation and publishing continue to re-shape the wcry in which postgraduate candidates manage their dissertation research and writing. In particular, automated referencing and bibliographic programs are now essential tools of dissertation writing that continue to developing in power, flexibility and integration with Word processing programs. But many post-graduate and doctoral candidates arrive unprepared for the culture shock of online, automated referencing and bibliographic tools since their previous under-graduate exposure to citation and bibliographic principles is often solely in a manual context. Automated tools now expose them to a much richer set of citation possibilities, bibliographic organisation and search engine capabilities not possible in manual principles or processes. This paper reports on the experiences of a group of post-graduate students in learning the principles, procedures and capabilities of an online, automated referencing and bibliographic tool and proficiency in its use. An analysis of the group's preconceptions, attitudes and responses suggests several factors that influence learning process efficiency. Disciplines Business | Social and Behavioral Sciences Publication Details McCrae, M. (2005). Dissertation writing with automated citation and bibliographic tools: A case of postgraduate culture shock. International Journal of Technology, Knowledge and Society, 1 (2), 25-30. This journal article is available at Research Online: http://ro.uow.edu.au/commpapers/2922 Dissertation Writing with Automated Citation and Bibliography Tools A Case of Post-Graduate Culture Shock Michael McCrae, University of Wollongong, Australia Abstract: Online technologies for document creation and publishing continue to re-shape the wcry in which post-graduate Online technologies for document creation and publishing continue to re-shape the wcry in which post-graduate candidates manage their dissertation research and writing. In particular, automated referencing and bibliographic programs are now essential tools of dissertation writing that continue to developing in power, flexibility and integration with Word processing programs. But many post-graduate and doctoral candidates arrive unprepared for the culture shock of online, automated referencing and bibliographic tools since their previous under-graduate exposure to citation and bibliographic principles is often solely in a manual context. Automated tools now expose them to a much richer set of citation possibilities, bibliographic organisation and search engine capabilities not possible in manual principles or processes. This paper reports on the experiences of a group of post-graduate students in learning the principles, procedures and capabilities of an online, automated referencing and bibliographic tool and proficiency in its use. An analysis of the group's preconceptions, attitudes and responses suggests several factors that influence learning process efficiency.

Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools

We consider linguistic data(base) summaries in the sense of Yager [Information Sciences 28 (1982) 69–86], exemplified by “most employees are young and well paid” (with some degree of truth added), for a personnel database, as an intuitive, human consistent and natural language based knowledge discovery tool. We present first an extension of the classic Yager’s approach to involve more sophisticated criteria of goodness, search methods, etc. We advocate the use of the concept of a protoform (prototypical form), that is recently vividly advocated by Zadeh [A prototype-centered approach to adding deduction capabilities to search engines—the concept of a protoform. BISC Seminar, University of California, Berkeley, 2002], as a general form of a linguistic data summary. We present an extension of our interactive approach, based on fuzzy logic and fuzzy database queries, which makes it possible to implement such linguistic data summaries. We show how fuzzy queries are related to linguistic summaries, and show that one can introduce a hierarchy of protoforms, or abstract summaries in the sense of latest Zadeh’s [A prototype-centered approach to adding deduction capabilities to search engines—the concept of a protoform. BISC Seminar, University of California, Berkeley, 2002] ideas meant mainly for increasing deduction capabilities of search engines. For illustration we show an implementation for a sales database in a computer retailer, employing some type of a protoform of a linguistic summary.

How do search engines respond to some non-English queries?

In this article, we explored the capabilities of search engines for non-English languages. As a test case, we considered four languages: Russian, French, Hungarian and Hebrew. For each of these languages we tested three general search engines: Alta Vista, FAST and Google and some local search engines. Our results indicate that in the examined cases the general search engines ignore the special characteristics of non-English languages, and sometimes they do not even handle diacritics well. These findings are rather disturbing, since for example Google is very popular in non-English speaking countries as well, and users are either not aware of what they miss when using search tools that do not take into account the structure and the special characteristics of the specific language or have no alternatives but to use these search engines.

Consumer Search Behavior in Online Shopping Environments

This paper explores search behavior of online shoppers. Information economics literature suggests that search cost in electronic markets has essentially been reduced to zero as consumers are able to use powerful search tools, free of charge, to easily find and compare product and shopping information on the Internet. In the present research, however, we present a research model proposing that users need to spend time and effort when completing search tasks, resulting in significant search cost and a trade-off between search cost and search performance. Preliminary findings from an Internet experiment indicate that search task complexity, search engine capability, search strategy, and user experience are important factors determining search cost and performance.

The state of online retailing

Dimensions of critical factors that impact online retailing (e‐quality) are synthesized from the literature and organized along the four phases of a consumer’s online shopping experience: encountering the online retailer’s home page, selecting a product from the online catalog, completing the order form and accessing customer service and support. Using a random sample of 55 online retailers, the study benchmarks real online transactions against these e‐quality dimensions. Findings suggest several areas that e‐retailers should target for improvement. These areas include increasing the speed of home page loading, providing the ability to translate into multiple languages, enhancing the capabilities of search engines, displaying security policies more conspicuously, offering multiple payment options, and reducing the minimum number of clicks to complete a transaction. The final phase of the online shopping experience, customer service and support, seems to offer the most room for improvement in the areas of instant automated merchant notification of orders and on time delivery.

Cataloging the Wide World of Web

SUMMARY The Internet has become one of the leading forms of communication and information dissemination in the world today. Furthermore, the Internet provides great opportunities for librarians to supply their remote patrons with an invaluable research tool that will provide access to a vast amount of information and services. However, the Internet is currently a disorganized mesh of a variety of information resources, which makes it difficult for researchers to locate resources that are relevant, authoritative and reliable. This paper demonstrates the need for better organization of the information resources on the Internet, and then discusses various methods and initiatives towards resolving these issues of organization. Some methods mentioned for organizing the Internet include improving the capabilities of search engines, and the use of metadata both within and separate from Web documents. The new roles of librarians in the electronic environment are also discussed.