52,796 Hits in 7.7 sec

RUM++: A Log Mining Approach to Classify Users Based on Data Profile [chapter]

Helton Franco de Sousa, Leandro Guarino de Vasconcelos, Laercio A. Baldochi
2019 Advances in Intelligent Systems and Computing  
Efficiency RUM++: A Log Mining Approach to Classify Users Based on Data Profile  ...  As a result, a group of 12 attributes have been selected as candidates for mining.  ... 
doi:10.1007/978-3-030-14070-0_34 fatcat:lj4jhtljnjdu3m2l6ujc6iejeu

Promoting Oral Production through the Task-Based Learning Approach: A Study in a Public Secondary School in Colombia

Mireya Peña, Amparo Onatra
2009 Profile Issues in Teachers' Professional Development  
They can also be considered an attempt to understand the implications of such activities within the framework of the Task-Based Learning approach presented by Willis (1996).  ...  Spoken language is used less confidently by learners in the English as a foreign language (efl ) classroom in secondary schools, and this has become a challenge for most teachers.  ...  Task-Based Learning Task based learning (TBL) was the methodology we adopted for this research. In this approach the basic and initial point of organization is the task.  ... 
doaj:722ac152d33342ec8940fe27efa652b7 fatcat:24ffz4ehl5fglew4y7k3bj6kme

User profiling in WWW network

Michal Kekez, Adam Gluszek, Filip Rudzinski
2005 Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments III  
In this paper we present application of several theoretical tools to a problem of generation of WWW user profile.  ...  This profile can be used for planning of advertisement on WWW sites. In the next section, we shortly describe selected tools for generation of decision rules that were used to create user profile.  ...  One of the approaches is represented by nfgClass algorithm [4] . This system has a feed-forward network-like structure that mirrors fuzzy rule base that models a given problem.  ... 
doi:10.1117/12.610758 fatcat:reeweuerknct7f634lef4e5msi

Profiling Social Network Users With Machine Learning

Evis Trandafili, Marenglen Biba, Aleksander Xhuvani
2013 Balkan Conference in Informatics  
A user falling under a certain profile could then target with the same products used for other users in the same group.  ...  In this context, it is important to develop approaches that are able to efficiently and effectively profile users based on their interactions with other users.  ...  Based on this, products chosen by a user may probably be chosen by users belonging to the same group.  ... 
dblp:conf/bci/TrandafiliBX13 fatcat:gbo5kopbsjfrvfcz74edjgyeeq

Machine Learning in User Modeling [chapter]

Christos Papatheodorou
2001 Lecture Notes in Computer Science  
The paper by Schwab and Pohl [35] described LaboUr, a recommendation system, which learns user profiles from ELFI, a Web-based system that provides information concerning research funds.  ...  The main goal of these systems is to learn and revise user profiles as well as to propose which information on a given topic would be interesting to a user.  ... 
doi:10.1007/3-540-44673-7_17 fatcat:nogow2ffvnhe3eulstu6fktbxi

Modelling evolving user behaviours

Jose A. Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis
2009 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems  
In this paper we combine the evolving classifier with a trie-based user profiling to obtain a powerful self-learning on-line scheme.  ...  In this paper, a new approach for creating and recognizing automatically the behaviour profile of a computer user is presented.  ...  Lane and Brodley [10] present an approach based on the basis of instance-based learning (IBL) techniques, and several techniques for reducing data storage requirements of the user profile.  ... 
doi:10.1109/esdis.2009.4938994 fatcat:34t6yyd5d5h3dc5mb75tn7ryoi

Learning the Learner: User Modeling in Intelligent Computer Assisted Language Learning Systems

David Alfter
2016 User Modeling, Adaptation, and Personalization  
The concept of user modeling, and more specifically learner modeling, has been known for quite a long time, but its implementation into language learning systems is still rather uncommon.  ...  The current work proposes to extend an existing experimental language learning platform with user modeling capabilities in order to offer a more personalized experience to the different users.  ...  Acknowledgment I would like to thank my supervisors Lars Borin and Elena Volodina for their helpful insights and guidance.  ... 
dblp:conf/um/Alfter16 fatcat:mvtd74g5pngsvjvqbgmwwwudya

Constructing a Hierarchical User Interest Structure based on User Profiles [article]

Chao Zhao, Min Zhao, Yi Guan
2017 arXiv   pre-print
We organized 433,397 user interests, referred to here as "attentions", into a user attention network (UAN) from 200 million user profiles; we then applied the Louvain algorithm to detect hierarchical clusters  ...  Most studies on this subject construct the interest hierarchy of a single person from the document perspective. In this study, we constructed the user interest hierarchy via user profiles.  ...  The most common approach to doing so is based on personalized information related to user interests.  ... 
arXiv:1709.06918v1 fatcat:36oyixsifvam5bq3rbi6qkwpda

User profiling for the web

Miha Grcar, Dunja Mladenic, Marko Grobelnik
2006 Computer Science and Information Systems  
This paper addresses a problem of personalized information delivery related to the Web, that is based on user profiling. Different approaches to user profiling have been developed.  ...  There are three main groups of approaches: content-based filtering, collaborative filtering and Web usage mining.  ...  User Profiling for Web Browsing In the content-based approach to user profiling, a profile is based on the content that was requested/visited by the user.  ... 
doi:10.2298/csis0602001g fatcat:tqyypei3mbe2bgy5viplsdzzn4

Adaptive user modelling in car racing games using behavioural and physiological data

Theodosis Georgiou, Yiannis Demiris
2017 User modeling and user-adapted interaction  
We propose an adaptive user modelling approach using a combination of unobtrusive physiological data to identify strengths and weaknesses in user performance in car racing games.  ...  The user modelling approach adopts concepts from the Trace Theory framework; it uses machine learning to extract features from the user's physiological data and game-related actions, and cluster them into  ...  (tracks) where learning and development are most likely to be realised for a particular user.  ... 
doi:10.1007/s11257-017-9192-3 pmid:32063681 pmcid:PMC6994227 fatcat:wlosz6xlhjagznstax4ivaiucy

Ontology-Based Users & Requests Clustering in Customer Service Management System [article]

Alexander Smirnov, Mikhail Pashkin, Nikolai Chilov, Tatiana Levashova, Andrew Krizhanovsky, Alexey Kashevnik
2005 arXiv   pre-print
The goal of this paper is to present an efficient for implementation approach for clustering users and their requests.  ...  Hence grouping of customers/requests to clusters is one of major technique to improve the level of company customization.  ...  User profiles are used heavily in clustering (customer & request grouping). For better customer serving, the approach assumes creation of user profiles correlating with the ontology.  ... 
arXiv:cs/0501077v2 fatcat:ar2chglfe5cbzo2lerugeeljfe

Modeling user interests by conceptual clustering

Daniela Godoy, Analía Amandi
2006 Information Systems  
Unlike most user profiling approaches, this algorithm offers comprehensible clustering solutions that can be easily interpreted and explored by both users and other agents.  ...  Personal agents providing assistance based on the content of Web documents and the user interests emerged as a viable alternative to this problem.  ...  Integrated in an ontology learning process, a user profiling approach discovering semantics from Web pages can contribute to build ontologies for the Semantic Web.  ... 
doi:10.1016/ fatcat:ro4g6rv4lvfxjghs4xen5dsu2m

Recommendation Models for User Accesses to Web Pages [chapter]

Ş. Gündüz, M.T. Özsu
2003 Lecture Notes in Computer Science  
Predicting the next request of a user as she visits Web pages has gained importance as Web-based activity increases. There are a number of different approaches to prediction.  ...  have been found well suited for this problem.  ...  Automated Recommender Systems Recently, a number of approaches have been developed dealing with specific aspects of Web usage mining for the purpose of automatically discovering user profiles.  ... 
doi:10.1007/3-540-44989-2_119 fatcat:jc65txpqvfavbamgapb2kulfwu

Building User Profiles from Shared Photos

Dhiraj Joshi, Matthew Cooper, Francine Chen, Yan-ying Chen
2015 Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions - MMCommons'15  
In an effort to compare the visual-based versus tagbased user profiles with social interests, we compare corresponding similarity matrices with a reference similarity matrix based on users' group memberships  ...  Visual content of photos is analyzed using state-of-the-art deep learning based automatic concept recognition. An aggregate visual concept signature is thereby computed for each user.  ...  We present results that show that on Flickr, the visual analysis based method using deep learning and tag based approach both outperform random baselines.  ... 
doi:10.1145/2814815.2814818 dblp:conf/mm/JoshiCCC15 fatcat:kp4etfvwtfcgtdutpwdzjkwzhe

Clustering User Preferences Using W-kmeans

Christos Bouras, Vassilis Tsogkas
2011 2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems  
In this paper, a method for clustering navigation patterns of Web users is proposed.  ...  , to user profile clustering by analyzing the users' historical data.  ...  ACKNOWLEDGMENT This research has been co-financed by the European Union (European Social Fund -ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National  ... 
doi:10.1109/sitis.2011.19 dblp:conf/sitis/BourasT11 fatcat:zj2ovrwms5g5nccrqtzh5zzxwy
« Previous Showing results 1 — 15 out of 52,796 results