Observación: he optado por incluir la primer página de cada documento elegido por cuanto algunos son de acceso pago.
Rama del conocimiento: CIENCIAS SOCIALES Y CULTURA | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
¿Qué sé? (Escribir por lo menos un concepto para cada punto solicitado) | ¿Qué me gustaría profundizar? (Relacionado con el concepto escrito en la columna anterior) | ¿Qué fuente de información puedo buscar para aprender? (Buscar un documento adecuado a la inquietud y anotar el link. Si lo desean, también, pueden guardar el link en su Delicious). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Sobre buscadores, metabuscadores, especializados en su rama del conocimiento. | Sé qué buscadores SE cuentan con bases de datos y metabuscadores acceden a bases de datos de múltiples buscadores SE. Sé que un buscador SE es diferente del buscador (persona). El metabuscador ebscohost releva datos de diferentes buscadores de múltiples disciplinas de las ciencias sociales. | Me gustaría profundizar la diferenciación entre metabuscadores y buscadores y evaluar la pertinencia de cada uno según las características de las búsquedas. | IBIMA Publishing Communications of the IBIMA http://www.ibimapublishing.com/journals/CIBIMA/cibima.html Vol. 2010 (2010), Article ID 126850, 7 pages DOI: 10.5171/2010.126850 Copyright © 2010 Anushia Inthiran, Saadat M. Alhashmi, and Pervaiz K. Ahmed. This is an open access article distributed under the Creative Commons Attribution License unported 3.0, which permits unrestricted use, distribution, and reproduction in any medium, provided that original work is properly cited. Contact author: Anushia Inthiran e-mail: anushia.inthiran@infotech.monash.edu.my A Reflection of Search Engine Strategies Anushia Inthiran1, Saadat M. Alhashmi1, and Pervaiz K. Ahmed2 1School of Information Technology, Monash University Sunway Campus, Malaysia 2School of Business, Monash University Sunway Campus, Malaysia _________________________________________________________________________________ Abstract Information retrieval and search engines are almost synonymise. Usually search engines are employed to perform the search activity. If search engines merely return search results without much analysis, a user will be overwhelmed with search results. The aim is to return results that are relevant and not cornucopia of search results. Search engines today utilise many methods in order to provide users with relevant search results. Relevant results can only be provided if search engine strategies are able to discern the users’ information seeking goal. However the tremendous growth of the Internet and the variety of users using the search engine make it difficult for search engines to satisfy the user’s diverse information seeking goal. Today users demonstrate various nuances while searching; parallel searching, multiple information seeking goals in a single search session and the use of multiple browsers for a single search. It has become pressing that search engines take into account these search behaviours in the attempt to provide users with relevant search results. In this paper we discuss three methods: query expansion, user search history and re-ranking- in an attempt to provide searchers results that match their information needs. These methods are common strategies used by search engines. Unfortunately, these techniques are not satisfactory when assessed against providing users with relevant results. We also provide insights to a new direction that search engines have venture into. Rather than just limiting search strategies to technical implementation/aspect, the bigger picture of the search process and the user needs to be looked into. Keywords: re-ranking, search history, query expansion, personalization | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
En relación con la pertinencia y confiabilidad | Sé que la pertinencia está fundada sobre nuestros parámetros de búsqueda utilizados, en cambio la confiabilidad es algo que exige un trabajo posterior de parte del buscador (persona), como corroborar la fuente, la fecha y otros datos de publicación. | Me gustaría profundizar sobre la operacionalización del concepto de pertinencia, es decir, relevar todo lo que puede colaborar en la práctica a obtener resultados pertinentes. | Information Services & Use 24 (2004) 187–193 187 IOS Press Information discovery and retrieval tools 1 Michael T. Frame U.S. Geological Survey, Center for Biological Informatics, Mail Stop No. 302, 12201 Sunrise Valley Drive, Reston, VA 22092, USA E-mail: mike_frame@usgs.gov Abstract. Due to the rapid growth of electronically accessible content from the Internet, there is a corresponding increase in demand for information of all types from a number of diverse users. Although the World-Wide Web presents tremendous opportunities to users for access to this wealth of information, the quantity of that information can be overwhelming. The user who attempts to find information can become confounded by the sheer volume of data and information returned as “pertinent” to his/her need. In addition, current awareness becomes an obstacle, as variations in search engine crawls of the Web, as well as the user’s own ability to keep up with frequent queries to multiple search tools, can prevent timely access to and knowledge of pertinent information. This session will focus on the various Internet search engines, directories, and how to improve the user experience through the use of such techniques as metadata, meta-search engines, subject specific search tools, and other developing technologies. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Vinculado con el aprender a buscar | Sé que es necesario utilizar varios buscadores y escapar al “googleo” como única opción; un ejercicio interesante es buscar lo mismo en diferentes buscadores SE. | Modelos de búsqueda según complejidad y características específicas de distintos buscadores. | Information Services & Use 27 (2007) 105–122 105 IOS Press Monitoring browsing behaviour and search services evolution adaptation with a capture–recapture Internet-based programming technique: A case-study over medical portals Ioannis Anagnostopoulos ∗ and Ilias Maglogiannis Department of Information and Communication Systems Engineering, University of the Aegean, Karlovassi, Samos Island, 83200 Greece E-mail: {janag,imaglo}@aegean.gr Abstract. Nowadays, web search services are considered as a valuable tool for information exploration. However, due to the extremely rapid growth of the web, search engines cannot index the new information at the same time or with the same priority and thus their performance is hampered in some extend. Besides, web search services index the disseminated information with different algorithms, having as result different response time in updating their directories. In this paper, we propose a meta-search algorithm, which is capable of self-adapting over the continuous changes that occur on the indexed web, using a web evolution adaptation mechanism. This mechanism is put in the context of real capture–recapture experiments conducted in wildlife biological studies. The meta-search algorithm also supports a monitor mechanism, which records the user’s browsing behavior during his search sessions. The paper provides the implementation details of the proposed meta-search ranking algorithm along with its initial assessment over health-related information using three medical web search services. We prove in our approach, that when user’s browsing behavior is jointly used with a dynamic survey mechanism, which scores the ability of each search service to adapt in the incessant evolution of the web, a more effective meta-search is provided. Experimental results showed that the precision of the third-party results, were increased in several recall levels, for a tested period between September of 2006 and April of 2007. Keywords: Meta-search algorithm, user browsing behavior, web evolution adaptation, search services | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Relacionado con enseñar a buscar. | Es importante enseñar los diferentes pasos que componen el proceso de búsqueda a efectos de hacer consciente al alumno de su propia intervención en él. | Me gustaría profundizar sobre distintas posibilidades y formas de desarrollar ejercicios sobre eso con los alumnos. | Learning to use the Internet as a study tool: a review of available resources and exploration of students’ priorities Carol S. Bond, David Fevyer & Chris Pitt, Institute of Health and Community Studies, Bournemouth University, Bournemouth, UK Abstract Background : The Internet is a valuable information tool, but users often struggle to locate good quality information from within the vast amount of information available. Objectives : The aim of the study was to identify the online information resources available to assist students develop Internet searching skills, and to explore the students’ priorities in online guides. Methods : A qualitative approach was adopted with two phases. The first was a structured search of available online study skills resources. The second comprised 10 group interviews with a total of 60 students at all stages of five undergraduate health and social care related courses at a UK university. Results : The study found that there were good online guides available, but that, perversely, the better guides tended to require the best searching skills to locate them. A few students were enthusiastic about using online support, however the majority felt that if they had the skills to locate such resources they wouldn’t use a study guide to improve these skills, and if they did not have the skills they would not think of using an online guide to develop them. Conclusions : Students wanted assistance when they had problems or questions, rather than sites that offered structured learning experiences. Personal support rather than virtual support was also considered to be most important to the students in this study. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Ligado a competencias del manejo de la información | La necesidad de juzgar y seleccionar la información obtenida en las búsquedas según diferentes criterios. | Los diferentes modelos y perspectivas respecto de esas competencias. |
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