A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Incorporating Contextual Cues into Electronic Repositories
2004
Pacific Asia Conference on Information Systems
Preserved Fulltext
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]
2012
Advances in Intelligent and Soft Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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]
2012
International Workshop on Evidence-Based Technology Enhanced Learning
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2001
IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2000
Proceedings of the 2000 ACM workshops on Multimedia - MULTIMEDIA '00
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
PRIVACY PRESERVING AND OBSCURE DELICATE DATA WITH COLLABORATIVE TAGGING
2014
International Journal of Research in Engineering and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2015
2015 11th International Conference on Innovations in Information Technology (IIT)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2003
Decision Support Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
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
2010
Advances in Information Sciences and Service Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
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]
2003
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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]
2003
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2016
Symposium on Information Management and Big Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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
2011
International Journal of Computer Science & Engineering Survey
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
2015
International Journal on Recent and Innovation Trends in Computing and Communication
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2019
Electronic Markets
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 37,932 results