Filters








101,611 Hits in 6.4 sec

A Review of Content-Based and Context-Based Recommendation Systems

Umair Javed, Kamran Shaukat, Ibrahim A. Hameed, Farhat Iqbal, Talha Mahboob Alam, Suhuai Luo
2021 International Journal of Emerging Technologies in Learning (iJET)  
To achieve this goal, we have used content-based, collaborative filtering, a hybrid recommender system, and implemented a Web ontology language (OWL).  ...  We have presented different techniques to support media recommendations for smartphones, to create a framework for context-aware, to filter E-learning content, and to deliver convenient news to the user  ...  Ontology representation language The languages used in content-based recommender systems are OWL, SWRL, RDF, and semantic mapping rules, etc.  ... 
doi:10.3991/ijet.v16i03.18851 fatcat:e5br2bdqmvgn7lb7huqmhww3we

Ontology-based Multilingual Search in Recommendation Systems

2016 Acta Polytechnica Hungarica  
Multilingual Movie Recommendation System (MMRS) for searching as a case of study is developed. In this system, we illustrate a more comfortable and flexible implementation.  ...  We develop an ontology-based multilingual recommendation system using integrated data from Linked Open Data to support user with in different languages on movie domain.  ...  In order to understand our proposal we present some definitions for the multilingual concept and our model as follows: Definition 1 (Multilingual Recommendation System Framework) A multilingual recommendation  ... 
doi:10.12700/aph.13.2.2016.2.11 fatcat:qp5gsq7wibemhjbli36pcllpui

Towards Multi-Language Recipe Personalisation and Recommendation [article]

Mikhail Fain, Andrey Ponikar, Nadine Sarraf, Niall Twomey
2020 arXiv   pre-print
For users without interaction histories, a bespoke content-based cold-start model that predicts context and recipe affinity is introduced.  ...  Multi-language recipe personalisation and recommendation is an under-explored field of information retrieval in academic and production systems.  ...  LightFM [18] is a framework offering linear Collaborative Filtering (CF), Content Based (CB) and hybrid recommendation models.  ... 
arXiv:2007.13440v1 fatcat:7oolekuhyjf5hhfrptxlmpqinm

A multi-layered framework for disseminating knowledge for computer-based decision support

A. A. Boxwala, B. H. Rocha, S. Maviglia, V. Kashyap, S. Meltzer, J. Kim, R. Tsurikova, A. Wright, M. D. Paterno, A. Fairbanks, B. Middleton
2011 JAMIA Journal of the American Medical Informatics Association  
Methods We have developed a multi-layered knowledge representation framework for structuring guideline recommendations for implementation in a variety of CDS contexts.  ...  We have used this framework to implement rules for a CDS service based on three guidelines.  ...  on the framework, and Christine Kucera, Justine Pang, Angela Haslbeck, and Zachary Turechek for their role in coordinating the research activities.  ... 
doi:10.1136/amiajnl-2011-000334 pmid:22052898 pmcid:PMC3241169 fatcat:pqdqvqd6lbgjjdvumerqkr3pma

A Proposed Model for Improving the Performance of Knowledge Bases in Real-World Applications by Extracting Semantic Information

Abdelrahman Elsharif Karrar
2022 International Journal of Advanced Computer Science and Applications  
such as content recommendation during a web search.  ...  The objective of this paper is to explore the concept of information extraction as a technique for accelerating the performance of knowledge bases with minimal annotation efforts for real-world applications  ...  a high-performance content recommendation model for efficient information extraction from knowledge bases.  ... 
doi:10.14569/ijacsa.2022.0130214 fatcat:h6vbprjcg5gexkcsmllnftxsqa

Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems

Stephen D. J. McArthur, Euan M. Davidson, Victoria M. Catterson, Aris L. Dimeas, Nikos D. Hatziargyriou, Ferdinanda Ponci, Toshihisa Funabashi
2007 IEEE Transactions on Power Systems  
Part 2 of the paper explores the decisions inherent in engineering multi-agent systems for applications in the power and energy sector and offers guidance and recommendations on how MAS can be designed  ...  MAS solution for a power engineering problem.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the input, discussions and efforts of the Multi-Agent Systems Working Group members.  ... 
doi:10.1109/tpwrs.2007.908472 fatcat:etff4qyvafeyhbiuaigk3465dm

Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)

Ivan Cantador, Peter Brusilovsky, Tsvi Kuflik
2011 Proceedings of the fifth ACM conference on Recommender systems - RecSys '11  
Information heterogeneity can indeed be identified in any of the pillars of a recommender system: the modeling of user preferences, the description of resource contents, the modeling and exploitation of  ...  Almost all current recommender systems are designed for specific domains and applications, and thus usually attempt to make best use of a local user model, using a single kind of personal data, and without  ...  Information heterogeneity can indeed be identified in any of the pillars of a recommender system: the modeling of user preferences, the description of resource contents, the modeling and exploitation of  ... 
doi:10.1145/2043932.2044016 dblp:conf/recsys/CantadorBK11 fatcat:b5qc7nhikncvlbn7iovbspnn4y

Information and knowledge management in online rich presence services

Casey K. Fung, Patrick C. K. Hung
2013 Information Systems Frontiers  
This result generates a consolidation of virtual, physical, and online services into a single richpresence platform based on content-based publish/subscribe services for efficient filtering and dissemination  ...  Process Execution Language for Web Services (BPEL4WS), and etc.  ...  This result generates a consolidation of virtual, physical, and online services into a single richpresence platform based on content-based publish/subscribe services for efficient filtering and dissemination  ... 
doi:10.1007/s10796-013-9441-x fatcat:xb4bamkdlzb4zjbhmig2qhp76q

A Review on Information Accessing Systems Based on Fuzzy Linguistic Modelling

E. Herrera-Viedma, A.G. Lopez-Herrera
2010 International Journal of Computational Intelligence Systems  
The review shows information retrieval systems, filtering systems, recommender systems, and web quality evaluation tools, which are based on tools of fuzzy linguistic modelling.  ...  a way, the developed systems allow users the access to quality information in a flexible and user-adapted way.  ...  In a content-based RS, the recommendation is done by the system itself, i.e., the function of the system is to provide recommendations for its individual users, as, for example, the order of the documents  ... 
doi:10.2991/ijcis.2010.3.4.3 fatcat:jasdlnapmrddndzsbu2h6nht3i

A Review on Information Accessing Systems Based on Fuzzy Linguistic Modelling

E. Herrera-Viedma, A.G. López-Herrera
2010 International Journal of Computational Intelligence Systems  
The review shows information retrieval systems, filtering systems, recommender systems, and web quality evaluation tools, which are based on tools of fuzzy linguistic modelling.  ...  a way, the developed systems allow users the access to quality information in a flexible and user-adapted way.  ...  In a content-based RS, the recommendation is done by the system itself, i.e., the function of the system is to provide recommendations for its individual users, as, for example, the order of the documents  ... 
doi:10.1080/18756891.2010.9727711 fatcat:kdszww7shrfgxpfkwzwxf6jgw4

User comments for news recommendation in social media

Jia Wang, Qing Li, Yuanzhu Peter Chen
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
In this work, we present a framework to recommend relevant information in the forum-based social media using user comments.  ...  This turns the traditional news recommendation to a "discussion moderator" that can intelligently assist online forums.  ...  A related problem is content-based information filtering (or recommendation).  ... 
doi:10.1145/1835449.1835663 dblp:conf/sigir/WangLC10a fatcat:pe4jkijtfnezxd2ry26axhdlpe

An integrated personalization framework for SaaS-based cloud services

Haolong Fan, Farookh Khadeer Hussain, Muhammad Younas, Omar Khadeer Hussain
2015 Future generations computer systems  
The approach we adapt in the design and development of the proposed framework is to synthesize various models and techniques in a novel way.  ...  Similar to the web and/or mobile applications, personalization can play a critical role in modern SaaS-based cloud services.  ...  CPRS [15] is a cloud-based recommendation system for TV platforms. In this system, the client-side is used to record user habits and receive programs.  ... 
doi:10.1016/j.future.2015.05.011 fatcat:iqic2upcmfevrpejim732ydzdm

Personalized News Recommendation: Methods and Challenges [article]

Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2022 arXiv   pre-print
We first review the techniques for tackling each core problem in a personalized news recommender system and the challenges they face.  ...  Instead of following the conventional taxonomy of news recommendation methods, in this paper we propose a novel perspective to understand personalized news recommendation based on its core problems and  ...  We first introduce the framework of developing a personalized news recommender system in Section 2.  ... 
arXiv:2106.08934v3 fatcat:iagqsw73hrehxaxpvpydvtr26m

BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer [article]

N. Nikzad-Khasmakhi, M. A. Balafar, M.Reza Feizi-Derakhshi, Cina Motamed
2020 arXiv   pre-print
In this paper, we introduce a multimodal classification approach for expert recommendation system (BERTERS).  ...  The objective of an expert recommendation system is to trace a set of candidates' expertise and preferences, recognize their expertise patterns, and identify experts.  ...  A masked language modeling task is used for training BERT.  ... 
arXiv:2007.07229v1 fatcat:pknabu6xqrfqndyp6dsmkd2gye

A Research on user Recommendation System Based upon Semantic Analysis

Lovedeep Kaur, Naveen Kumari
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
In this paper, we review the evaluation and improvement techniques for improving overall performance of recommendation systems and proposing a semantic analysis based approach for clustering based collaborative  ...  Recommender systems are now becoming increasingly important to individual users, businesses and specially e-commerce for providing personalized recommendations.  ...  CONCLUSION Recommender systems typically produce a list of recommendations in one of two waysthrough collaborative and content-based filtering or the personality-based approach.  ... 
doi:10.23956/ijarcsse.v7i11.471 fatcat:kchgbeocrfeuhpgwr233q2jksy
« Previous Showing results 1 — 15 out of 101,611 results