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Stereotype-based versus personal-based filtering rules in information filtering systems

Tsvi Kuflik, Bracha Shapira, Peretz Shoval
2003 Journal of the American Society for Information Science and Technology  
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]

Ana Almeida, Bruno Coelho, Constantino Martins
2010 IFIP Advances in Information and Communication Technology  
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

Colleen Whitney, Lisa Schiff
2006 D-Lib Magazine  
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

Inssaf El Guabassi, Mohammed Al Achhab, Ismail Jellouli, Badr Eddine EL Mohajir
2018 International Journal of Emerging Technologies in Learning (iJET)  
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

Jeffrey W. Sherman, Angela Y. Lee, Gayle R. Bessenoff, Leigh A. Frost
1998 Journal of Personality and Social Psychology  
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

Jeffrey W. Sherman, Angela Y. Lee, Gayle R. Bessenoff, Leigh A. Frost
1998 Journal of Personality and Social Psychology  
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

Ross BUCK, Stacie Renfro POWERS
2005 Psychologia  
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

Alisher Rustamov, Karshi branch of TUIT named after Muhammad al-Khwarizmi, Fayzi Bekkamov
2021 Scientific Reports of Bukhara State University  
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

Fabian Abel, Ig Ibert Bittencourt, Evandro Costa, Nicola Henze, Daniel Krause, Julita Vassileva
2010 IEEE Transactions on Learning Technologies  
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

Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
2007 User modeling and user-adapted interaction  
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]

Siddharth Dinesh
2018 arXiv   pre-print
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]

Hans Hummel, Bert van den Berg, Adriana Berlanga, Hendrik Drachsler, José Janssen, Rob Nadolski, Rob Koper
2009 Learning Network Services for Professional Development  
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

E. MartIn, R.M. Carro
2009 IEEE Transactions on Learning Technologies  
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

Eve F. Fabre, Mickael Causse, Francesca Pesciarelli, Cristina Cacciari
2015 Neuropsychologia  
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]

Kingkarn Sookhanaphibarn, Ruck Thawonmas
2010 IFIP Advances in Information and Communication Technology  
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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