Information filtering

Loeb, Shoshana; Terry, Douglas B.

doi:10.1145/138859.138860

Cited by 62 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They can be used to describe the flow of work through DLs [4]. When user profiles are consulted and users are alerted to new works through routing or filtering systems [62], we also have a type of stream processing. We have seen how 5S can be used in checklist-form to describe DLs.…”

Section: Figurementioning

confidence: 99%

ETDs, NDLTD, and open access: a 5S perspective

2006

View full text Add to dashboard Cite

Worldwide initiatives toward digital library (DL) support for electronic theses and dissertations (ETDs), facilitated by the work of the Networked Digital Library of Theses and Dissertations (NDLTD), Keywords 5S (societies, scenarios, spaces, structures, streams). Curricula. DL (digital library). ETD (electronic thesis or dissertations). NDLTD (networked digital library of theses and dissertations). Open access. OAI (open archives initiative). Standards.ETDs, NDLTD e acesso aberto: uma perspectiva 5S Resumo Iniciativas internacionais para o suporte de teses e dissertações eletrônicas (ETDs) através de bibliotecas digitais (DL), facilitadas pelo trabalho da Biblioteca Digital em Rede de Teses e Dissertações (NDLTD), são um fato chave no caminho ao acesso aberto. Quando os alunos de pós-graduação aprenderem a usar as ETDs disponíveis e tiverem experimentado a criação e a submissão dos trabalhos resultantes de Palavras-chave 5S (societies = sociedades, scenarios = cenários, spaces = espaços, structures = structures, streams = correntes). Currículos. DL (digital library = bibliotecas digitais). ETD (electronic thesis or dissertations = teses ou dissertações eletrônicas). NDLTD (networked digital library of theses and dissertations = biblioteca digital em rede de teses e dissertações). Acesso aberto. OAI (open archives initiative = iniciativa dos arquivos abertos). Padrões.

show abstract

Section: Figurementioning

confidence: 99%

ETDs, NDLTD, and open access: a 5S perspective

2006

View full text Add to dashboard Cite

show abstract

“…These systems adapt their explanations and teaching strategies to the individual needs of users in terms of their knowledge level and learning progress. Another area dealing with personalisation issues but emphasising more on adapting the content of an application are information filtering and recommender systems like found in [28,29]. The goal of these systems is to go through large volumes of dynamically generated textual information and present to the user those which are likely to satisfy his/her information requirements.…”

Section: Figure 1 Origins Of Customisationmentioning

confidence: 99%

Customisation for ubiquitous web applications: a comparison of approaches

Kappel

Pröll

Retschitzegger

et al. 2003

IJWET

View full text Add to dashboard Cite

Ubiquitous web applications adhering to the anytime/anywhere/ anymedia paradigm are required to be customisable meaning the adaptation of their services towards a certain context. Several approaches for customising ubiquitous web applications have been already proposed, each of them having different origins and pursuing different goals for dealing with the unique characteristics of ubiquity. This paper compares some of these proposals, trying to identify their strengths and shortcomings. As a prerequisite, an evaluation framework is suggested which categorises the major characteristics of customisation into different dimensions. On the basis of this framework, customisation approaches are surveyed and compared to each other, pointing the way to next-generation customisation approaches.

show abstract

“…No entanto, para resolver esse problema, é possível, por exemplo, utilizar técnicas de filtragem de informação que podem ajudar as pessoas num determinado contexto (Loeb & Terry, 1992).…”

Section: Introductionunclassified

Os Sistemas de Recomendação na Web Como Determinantes Prescritivos na Tomada de Decisão

Colmenero-Ferreira

Oliveira

2012

JISTEM USP

View full text Add to dashboard Cite

Overwhelmed by an extremely large volume of information on the Internet, it is difficult for a user to keep informed without a huge effort involved. The information that abounds on the Internet does not simplify the process of choice. In parallel, companies, in order to retain their consumers, more often use recommender systems on their websites, and their users seem to regard this alternative as a prescriptive strategy to solve their problems in their search for information and the consequent decision making process. How can recommendations influence a decision making process? By isolating this question it was possible to find the attributes that defined ways and objectives to begin this research. In the materialization of the research, the choice of elements in laboratory environments was rejected; instead, the research focuses its attention on real people, who perform real tasks in real conditions as well as on the process through which decisions are made in each individual´s environment. A qualitative approach is adopted related to the natural process of search for the information produced in a quasiexperimental basis. The results of the research show that, in order to solve one´s decision making problems in the phase of information search, people evaluate recommendations that websites progressively provide them, with the possibility of performing an internal search on companies websites and resorting to traditional search engines is practically not necessary.

show abstract

Information filtering

Cited by 62 publications

References 0 publications

ETDs, NDLTD, and open access: a 5S perspective

ETDs, NDLTD, and open access: a 5S perspective

Customisation for ubiquitous web applications: a comparison of approaches

Os Sistemas de Recomendação na Web Como Determinantes Prescritivos na Tomada de Decisão

Contact Info

Product

Resources

About