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RUM++: A Log Mining Approach to Classify Users Based on Data Profile
[chapter]
2019
Advances in Intelligent Systems and Computing
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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
2009
Profile Issues in Teachers' Professional Development
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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
2005
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments III
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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
2013
Balkan Conference in Informatics
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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]
2001
Lecture Notes in Computer Science
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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
2009
2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems
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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
2016
User Modeling, Adaptation, and Personalization
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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]
2017
arXiv
pre-print
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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
2006
Computer Science and Information Systems
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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
2017
User modeling and user-adapted interaction
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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]
2005
arXiv
pre-print
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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
2006
Information Systems
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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/j.is.2005.02.008
fatcat:ro4g6rv4lvfxjghs4xen5dsu2m
Recommendation Models for User Accesses to Web Pages
[chapter]
2003
Lecture Notes in Computer Science
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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
2015
Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions - MMCommons'15
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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
2011
2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems
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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
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