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Incorporating Contextual Cues into Electronic Repositories

Jie-Mein Goh, Danny C. C. Poo, Klarissa Chang
2004 Pacific Asia Conference on Information Systems  
Contextual information of what and where the user task is, what the user knows, and what the system capabilities are, can greatly enhance an information system's ability to retrieve information from electronic  ...  Despite efficient information retrieval technologies, users are still not satisfied with the search process and the results presented.  ...  and the quality of information retrieved by utilizing both profiling and information filtering strategies.  ... 
dblp:conf/pacis/GohPC04 fatcat:mfhgyhejcndopgcr2eafds3xbm

Intelligent Recovery Architecture for Personalized Educational Content [chapter]

A. Gil, S. Rodríguez, F. De la Prieta, B. Martín, M. Moreno
2012 Advances in Intelligent and Soft Computing  
A major challenge in searching and retrieval digital content is to efficiently find the most suitable for the users This paper proposes a new approach to filter the educational content retrieved based  ...  on Case-Based Reasoning (CBR).The model and the technologies presented in this research are an example of the potential for developing recovery systems for digital content based on the paradigm of virtual  ...  This work has been partially supported by the project MICINN TIN 2009-13839-C03-03 and JCyL project SA225A11-2.  ... 
doi:10.1007/978-3-642-28762-6_11 dblp:conf/paams/GilRPMM12 fatcat:ermj2vrmr5hofip3if6p35izou

CBR Proposal for Personalizing Educational Content [chapter]

Ana Gil, Sara Rodríguez, Fernando De la Prieta, Juan F. De Paz, Beatriz Martín
2012 International Workshop on Evidence-Based Technology Enhanced Learning  
A major challenge in searching and retrieval digital content is to efficiently find the most suitable for the users.  ...  The recommendation model and the technologies reported in this research applied to educational content are an example of the potential for personalizing labeled educational content recovered from heterogeneous  ...  This work has been partially supported by the project MICINN TIN 2009-13839-C03-03 and JCyL project SA225A11-2.  ... 
doi:10.1007/978-3-642-28801-2_14 dblp:conf/mis4tel/GilRPPM12 fatcat:4ycwurfayjc2xcomw6ta2oth4i

Visual information retrieval from annotated large audiovisual assets based on user profiling and collaborative recommendations

K. Ntalianis, S. Ioannou, K. Karpouzis, G. Moschovitis, S. Kollias
2001 IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.  
Moreover, retrieval systems should be capable of providing the user with additional information related to the specific subject of the query, as well as suggest other, possibly interesting topics.  ...  In addition to this, the system is able to "predict" information that is possibly relevant to specific users and present it along with the returned results.  ...  A content-based recommendation system, which has its roots in the information retrieval research community, makes its recommendations by constructing a profile for each user and using this profile to judge  ... 
doi:10.1109/icme.2001.1237893 dblp:conf/icmcs/NtalianisIKMK01 fatcat:5dmyaztds5ekji55jgnlawm4ki

Effective access to large audiovisual assets based on user preferences

S. Ioannou, G. Moschovitis, K. Ntalianis, K. Karpouzis, S. Kollias
2000 Proceedings of the 2000 ACM workshops on Multimedia - MULTIMEDIA '00  
Generation of users' profiles according to the same categories, enhanced by relevance feedback, permits an efficient presentation of the retrieved video shots or characteristic frames in terms of the user  ...  Moreover, multimedia retrieval systems should be capable of providing the user with additional information related to the specific subject of the query, as well as suggest other topics which users with  ...  A simple way to update profiles is by addition of new document information to the user profile, which is referred in the information retrieval community as relevance feedback [ 10] .  ... 
doi:10.1145/357744.357948 dblp:conf/mm/IoannouMNKK00 fatcat:kgcjdtfs3zcafns72dvwenagyy


A Divya .
2014 International Journal of Research in Engineering and Technology  
PET is achieved by using the technique Tag Suppression which has the role of providing the privacy for information. Web user will search using a keyword.  ...  The Organization updates their Company portal with public sharing data along with Sensitive data. The query is processed based on the User Profile Analysis.  ...  Extending collaborative tagging by incorporating a policy layer to protect the information which available in the social services.  ... 
doi:10.15623/ijret.2014.0310036 fatcat:s2535n7i3zfjxlyi2p7dhskt7i

An efficient and scalable recommender system for the smart web

Alejandro Baldominos, Yago Saez, Esperanza Albacete, Ignacio Marrero
2015 2015 11th International Conference on Innovations in Information Technology (IIT)  
This is a postprint version of the following published document: Baldominos, A.; Saez, Y. ; Albacete, E. ; Marrero, I. "An Efficient and Scalable Recommender System for the Smart Web".  ...  Abstract: This work describes the development of a web recommender system implementing both collaborative filtering and content-based filtering.  ...  model was built by incorporating the URLs and users categories.  ... 
doi:10.1109/innovations.2015.7381557 fatcat:pyjixqc64nep5jsms7pf3324hq

Design and evaluation of a multi-agent collaborative Web mining system

Michael Chau, Daniel Zeng, Hsinchun Chen, Michael Huang, David Hendriawan
2003 Decision Support Systems  
In this paper, we present the Collaborative Spider, a multi-agent system designed to provide post-retrieval analysis and enable across-user collaboration in Web search and mining.  ...  This system allows the user to annotate search sessions and share them with other users. We also report a user study designed to evaluate the effectiveness of this system.  ...  Acknowledgements This project was partly supported by the following research grants: We would like to thank the expert judges and the subjects at the University of Arizona who participated in the user  ... 
doi:10.1016/s0167-9236(02)00103-3 fatcat:bbvyosexbvhqvirz2lewwziftm

Personalized Information Retrieval by Using Adaptive User Profiling and Collaborative Filtering

Hochul Jeon, Taehwan Kim, Joongmin Choi
2010 Advances in Information Sciences and Service Sciences  
In general, because of the lack of the personal information such as hobby, preferences, and interests, these existing information retrieval systems are unsuitable to provide personalized search results  ...  In this paper, we propose an adaptive user profiling method using dynamic updating policy considering the change of the users' preferences over time and domain.  ...  Choose data(information) Therefore, using the past query and documents that were clicked by the user is very useful and efficient in personalized information retrieval.  ... 
doi:10.4156/aiss.vol2.issue4.14 fatcat:6krt5qlivfezpghatssafwhbr4

Web Information Personalization: Challenges and Approaches [chapter]

Cyrus Shahabi, Yi-Shin Chen
2003 Lecture Notes in Computer Science  
By focusing on these two types of systems, this paper reviews the challenges and the corresponding approaches proposed in the past ten years.  ...  As the number of web pages increases dramatically, the problem of the information overload becomes more severe when browsing and searching the WWW.  ...  Therefore, by incorporating PPV during the selection process, the search engine can retrieve pages closer to user preferences.  ... 
doi:10.1007/978-3-540-39845-5_2 fatcat:bzlhauh3a5altctfwda6jab4qe

COPLINK Agent: An Architecture for Information Monitoring and Sharing in Law Enforcement [chapter]

Daniel Zeng, Hsinchun Chen, Damien Daspit, Fu Shan, Suresh Nandiraju, Michael Chau, Chienting Lin
2003 Lecture Notes in Computer Science  
Overall, COPLINK Agent was shown to be an effective tool for improving the effectiveness and efficiency of criminal investigations in crimes such as gang, theft, and fraud.  ...  This system also supports knowledge sharing by proactively identifying officers who are working on the same or similar cases on a real-time basis.  ...  Acknowledgement The work described in this report was substantially supported by the following grants: We also would like to thank all of the personnel from TPD who participated in this study.  ... 
doi:10.1007/3-540-44853-5_21 fatcat:4y3yjhj6irdqpcgioaallpyyce

Personalised Recommendations for Context Aware Suggestions

Fabio Crestani
2016 Symposium on Information Management and Big Data  
Modern Information Retrieval has moved from standard text retrieval to novel applications of the same technology. Contextual suggestion is an example of this type of applications.  ...  In this invited talk I will reframe the problem of representing and using context and briefly report our two past approaches to capturing the user profile to enable a system to provide more accurate and  ...  The work is financially supported by the Swiss National Science Foundation (SNSF) under the grant "Relevance Criteria Combination for Mobile Information Retrieval (RelMobIR)".  ... 
dblp:conf/simbig/Crestani16 fatcat:rfpux4rbvfdbbe6moolzx4rwte

Discovering The Impact Of Knowledge In Recommender Systems: A Comparative Study

Bahram Amini, Roliana Ibrahim, Mohd Shahizan Othman
2011 International Journal of Computer Science & Engineering Survey  
Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information.  ...  User profiles play an important role in the success of recommendation process since they model and represent the actual user needs.  ...  They help users efficiently overcome the problem of content overload by filtering irrelevant information when users search for desired information.  ... 
doi:10.5121/ijcses.2011.2301 fatcat:l3wymqfgqbhovhiy72osnb6hja

A Survey on Personalized Multimedia Content Search

Vanashri N.
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Recommender systems or recommendation systems are a subclass of information filtering system that seek to predict 'rating' or 'preference' that are given by users.  ...  In this paper, we done survey on different techniques used for personalized search in relevant information retrieval.  ...  Personalized search work on user profiles generated on the web help to improve effectiveness of retrieval.  ... 
doi:10.17762/ijritcc2321-8169.150243 fatcat:zgyuxqsj2zhwve6t7bcocfc7ny

Smart e-commerce integration with recommender systems

Yin Zhang, Haider Abbas, Yi Sun
2019 Electronic Markets  
The core of the recommender system is information filtering and information retrieval to extract item features and model users' interest for recommending suitable contents to user.  ...  Therefore, it is necessary to develop an efficient, objective and accurate recommender system to provide a strong foundation for smart e-commerce.  ...  We also appreciate the contribution of many experts in the field who have participated in the review process and provided constructive suggestions to the authors to improve the contents and presentations  ... 
doi:10.1007/s12525-019-00346-x fatcat:bug3ko5hzfdrjis5gc37ycasmm
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