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Filters
Stereotype-based versus personal-based filtering rules in information filtering systems
2003
Journal of the American Society for Information Science and Technology
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This study compares the effectiveness of the two alternative rule-based filtering methods: stereotype-based rules versus personal rules. ...
Rule-based information filtering systems maintain user profiles where the profile consists of a set of filtering rules expressing the user's information filtering policy. ...
Rule-Based and Stereotype-Based Information Filtering Systems
Rule-Based Information Filtering Rules are a common way of knowledge representation and are widely used in expert systems (Jackson, 1998 ...
doi:10.1002/asi.10220
fatcat:pqcv7ma6rzg6lpuehaihyunc2a
Intelligent Hybrid Architecture for Tourism Services
[chapter]
2010
IFIP Advances in Information and Communication Technology
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This paper presents an artificial intelligence-based architecture to be used in various tourism services, namely the user modeling and recommender system components. ...
The system was tested in the scope of Oporto city, in Portugal. ...
From our point of view, the user model present in this paper (stage one), along with the more complex knowledge inference mechanisms that constitute the devised system (stage two) are two excellent basis ...
doi:10.1007/978-3-642-15286-3_20
fatcat:prag6rhunbfr5fk3uejsvnhvdu
The Melvyl Recommender Project
2006
D-Lib Magazine
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implementations of content-based filtering systems are found in information retrieval systems, as well as rule-based expert systems and decision support systems. ...
If the system, however, is a collaborative filtering system that bases recommendations on previously stated user preferences (versus item characteristics) then the user may loose trust in the system when ...
Zhang, Xiangmin Issues of applying collaborative filtering recommendations in information retrieval This free server (including source code) allows anyone to easily set up a recommendation system. ...
doi:10.1045/december2006-whitney
fatcat:nxqoitobcnetlpvcy3lul2ac7q
Personalized Ubiquitous Learning via an Adaptive Engine
2018
International Journal of Emerging Technologies in Learning (iJET)
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The proposed approach aims to support learners by presenting course materials generated by an adaptive engine based on adaptation rules. ...
In this paper, we propose an approach for providing personalized course content in ubiquitous learning, considering learning styles and context-awareness. ...
Learner profile In adaptive learning systems, the learner model is essential for generating personalized paths. ...
doi:10.3991/ijet.v13i12.7918
fatcat:zyiwq2e4xrewbilghui2n7k7my
Stereotype efficiency reconsidered: Encoding flexibility under cognitive load
1998
Journal of Personality and Social Psychology
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According to the encoding flexibility model, stereotypes are efficient because they facilitate, in different ways, the encoding of both stereotype-consistent and stereotype-inconsistent information when ...
Because stereotypical information is conceptually fluent, it may be easily understood, even when resources are scant. ...
In one study, participants were asked to form an impression of a target person based on a series of trait Journal of Personality and Social Psychology, 1998, Vol, 75, No. 3, 589-606 Copyright 1998 by ...
doi:10.1037/0022-3514.75.3.589
fatcat:f6tapzw7pzacvje3joydum4awq
Stereotype efficiency reconsidered: Encoding flexibility under cognitive load
1998
Journal of Personality and Social Psychology
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According to the encoding flexibility model, stereotypes are efficient because they facilitate, in different ways, the encoding of both stereotype-consistent and stereotype-inconsistent information when ...
Because stereotypical information is conceptually fluent, it may be easily understood, even when resources are scant. ...
In one study, participants were asked to form an impression of a target person based on a series of trait Journal of Personality and Social Psychology, 1998, Vol. 75, No 3, 589-606 Copyright 1998 by ...
doi:10.1037//0022-3514.75.3.589
pmid:9781404
fatcat:cj3wiasepzbpldjgu6vekertei
THE EXPRESSION, COMMUNICATION, AND REGULATION OF BIOLOGICAL EMOTIONS: SEX AND CULTURAL DIFFERENCES AND SIMILARITIES
2005
Psychologia
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It is proposed that emotional systems function as filters, determining the impact of external and internal stimuli upon higher-order appraisal and attribution processes. ...
A new model of emotion regulation based upon emotional communication is presented, and relevant evidence summarized including sex differences in expressing specific emotions, the effects of emotional inhibition ...
At puberty, the maturation of sexual systems alters profoundly and permanently the filter through which the young person views life and love. ...
doi:10.2117/psysoc.2005.335
fatcat:mrzoymm2pbh6lag5upbvsw5nw4
RECOMMENDER SYSTEMS: AN OVERVIEW
2021
Scientific Reports of Bukhara State University
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In this article, we look at the key advances in collaborative filtering recommender systems, focusing on the evolution from research focused solely on algorithms to research focused on the broad set of ...
Information overload is a major problem in information retrieval systems. ...
Collaborative filtering can be implemented in a memory based form (usually user based) or model. ...
doi:10.52297/2181-1466/2021/5/3/1
fatcat:kasrzdpgezfsjjdxmqx5bvub2m
Recommendations in Online Discussion Forums for E-Learning Systems
2010
IEEE Transactions on Learning Technologies
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The outcomes of the evaluation serve as source for a personalization rule, which selects the most appropriate recommendation strategy based on available user input data. ...
Index Terms-Information filtering, user profiles and alert services, online information services. ...
Hence, systems extend or replace collaborative filtering by clustering, stereotyping, or rule-based techniques. ...
doi:10.1109/tlt.2009.40
fatcat:pvmyq4itzbg7bhx34qvr7wcxqu
Mediation of user models for enhanced personalization in recommender systems
2007
User modeling and user-adapted interaction
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This work proposes a general framework and specific methodologies for enhancing the accuracy of user modeling in recommender systems by importing and integrating data collected by other recommender systems ...
Provision of personalized recommendations to users requires accurate modeling of their interests and needs. ...
Israel, and of the Istituto Trentino di Cultura-the Center for Scientific and Technological Research (ITCirst) in Trento, Italy. ...
doi:10.1007/s11257-007-9042-9
fatcat:d3lr5r3rafgrno5qnp6rtjqpt4
Real World Evaluation of Approaches to Research Paper Recommendation
[article]
2018
arXiv
pre-print
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In this work, we have identified the need for choosing baseline approaches for research-paper recommendation systems. ...
We find that a term based similarity search performs better than keyword based approaches. These results are a good starting point in finding performance improvements for related document searches. ...
Depending on the type of information that is available to the research paper recommendation system, we can ascertain if the system uses a collaborative filtering approach or a content based filtering approach ...
arXiv:1802.06892v1
fatcat:5e2jgjicxrg65ihagbxwjzvmai
Individualised Navigation Services in Learning Networks
[chapter]
2009
Learning Network Services for Professional Development
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Fig. 6.1 Social-based versus information-based approaches Information matching orrecommendation techniqueswork with two entities: users and items. ...
If only information about the learner was available, stereotype filtering was personalised through attributes of the learner profile. ...
doi:10.1007/978-3-642-00978-5_6
fatcat:cuuswy3q3rce7j4dmht2rh5v2a
Supporting the Development of Mobile Adaptive Learning Environments: A Case Study
2009
IEEE Transactions on Learning Technologies
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Index Terms-Personalization systems, adaptive hypermedia, Web-based interaction, computer uses in education. ...
In this paper, we describe a system to support the generation of adaptive mobile learning environments. ...
Three different adaptation filters compose the rule-based recommender: structural filter, context-based general filter, and individual filter [38] . ...
doi:10.1109/tlt.2008.24
fatcat:xxnrmypgkrda3iiq57t7mglemm
Sex and the money – How gender stereotypes modulate economic decision-making: An ERP study
2015
Neuropsychologia
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Responders were found to rely on a dual-process system (i.e., automatic and heuristic-based system 1 vs. cognitively costly and deliberative system 2), the P300 amplitude reflecting the switch from a decision ...
Greater P300 amplitudes were found in response to both fair and unfair offers and male-stereotyped proposers' offers reflecting an automatic decision making based on heuristics, while lower P300 amplitudes ...
Are they processed automatically based on system 1 like unfair and fair offers or more deliberatively based on system 2 like mid-value offers? ...
doi:10.1016/j.neuropsychologia.2015.06.013
pmid:26102185
fatcat:cimv345mbferhgmcv7pj53cgcy
An On-Line Classification Approach of Visitors' Movements in 3D Virtual Museums
[chapter]
2010
IFIP Advances in Information and Communication Technology
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Recommender systems, in virtual museums and art galleries, providing the personalization and context awareness features require the off-line synthesis of visitors' behaviors therein and the off-line training ...
Then, the proposed synthesis procedure is developed and used in the off-line training stage of ANFIS. ...
Therefore, a fuzzy inference system is used to classify the overlapped clusters and generate a linguistic rule-based classfier. ...
doi:10.1007/978-3-642-15214-6_2
fatcat:rz4ifmfkfne2tgn4gnxaww35m4
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