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News@hand: A Semantic Web Approach to Recommending News [chapter]

Iván Cantador, Alejandro Bellogín, Pablo Castells
Lecture Notes in Computer Science  
We present News@hand, a news recommender system which applies Semantic Web technologies to describe and relate news contents and user preferences in order to produce enhanced recommendations.  ...  recurso Access to the published version may require subscription Abstract.  ...  The expressed content is the view of the authors but not necessarily the view of the MESH project as a whole.  ... 
doi:10.1007/978-3-540-70987-9_34 fatcat:w3kp6jnb6va3bnl6s6arz6iu3u

Ontology-Based Personalised and Context-Aware Recommendations of News Items

Iván Cantador, Alejandro Bellogín, Pablo Castells
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
News@hand is a news recommender system that makes use of semantic technologies to provide several online news recommendation services.  ...  In this paper, we evaluate a model that personalises the order in which news articles are shown to the user according to his long-term interest profile, and other model that reorders the news items lists  ...  The expressed content is the view of the authors but not necessarily the view of the MESH project as a whole.  ... 
doi:10.1109/wiiat.2008.204 dblp:conf/webi/CantadorBC08 fatcat:ahokl73ztveyzdiuq73jkgmzpe

An Enhanced Semantic Layer for Hybrid Recommender Systems

Iván Cantador, Pablo Castells, Alejandro Bellogín
2011 International Journal on Semantic Web and Information Systems (IJSWIS)  
As a proof of concept and evaluation testbed, the approach is evaluated through its implementation in a news recommender system, in which it is tested with real users.  ...  To a significant extent, these issues can be related to a limited description and exploitation of the semantics underlying both user and item representations.  ...  News@hand has a client/server architecture, where users interact with the system through a Web interface in which they receive on-line news recommendations, and update their semantic profiles.  ... 
doi:10.4018/jswis.2011010103 fatcat:q7nptioe6zawzi7de7dj3dezcm

Discerning Relevant Model Features in a Content-based Collaborative Recommender System [chapter]

Alejandro Bellogín, Iván Cantador, Pablo Castells, Álvaro Ortigosa
2010 Preference Learning  
In the researched approach, machine learning techniques are used to discover which model features are relevant in providing accurate recommendations.  ...  User profiles or usage data are compared with some reference characteristics, which may belong to the items (content-based approach), or to other users in the same context (collaborative filtering approach  ...  News@hand: a news recommender system News@hand is a news recommender system that combines textual features and collaborative information to make news suggestions, and uses a controlled and structured vocabulary  ... 
doi:10.1007/978-3-642-14125-6_20 fatcat:2zvrcwjlhndg7dlp7i7dsb4dwu

User Controlled News Recommendations

Jon Espen Ingvaldsen, Jon Atle Gulla, Özlem Özgöbek
2015 ACM Conference on Recommender Systems  
The adoption of mobile devices is pushing the Internet into a more personal and context aware space. A common challenge for online news services is to deliver contents that are interesting to read.  ...  In this paper, we describe the user interface design of the SmartMedia news recommender prototype.  ...  It uses Semantic Web technologies to describe the news contents and user preferences.  ... 
dblp:conf/recsys/IngvaldsenGO15 fatcat:7d6ba6fe7vh4ho4ljbcp37vxu4

Leveraging Linked Data Analysis for Semantic Recommender Systems [chapter]

Andreas Thalhammer
2012 Lecture Notes in Computer Science  
However, approaches that semantically enable diverse recommendations for users, also in context to users' profiles, remain barely explored.  ...  Of course, this states a complementary way of recommendation that is often only based on ranking by relevance. Consider the example of a news aggregation Web site which ranks articles by popularity.  ...  [2] introduces a semantic news recommender system called "News@hand" that makes use of ontologybased knowledge representation in order to mitigate the problem of ambiguity and to leverage reasoning  ... 
doi:10.1007/978-3-642-30284-8_64 fatcat:rvikpyohzzdavkck5d6ysdlfda

Ontology based KM: A Review

Rajiv Kumar, M. D Tiwari
2014 International Journal of Computer Applications  
However, there is a need to focus on study of ontology based collaborative filtering in the existing business environment. This paper reviews ontology-based KM approaches.  ...  There are many literatures that have shown a number of KM approaches developed with the purpose of managing organizational knowledge.  ...  A hybrid recommender system has been developed by Cantadoret known as News@hand. It provides online news recommendation services using the semantic technologies.  ... 
doi:10.5120/15560-4109 fatcat:3mhub67rpzfetjdykvztumgl6q

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)  
After applying the semantic reasoning approach, we have concluded that by some means, this approach works similarly as a content-based recommender system since by taking the gain of a semantic approach  ...  To achieve this goal, we have used content-based, collaborative filtering, a hybrid recommender system, and implemented a Web ontology language (OWL).  ...  Recommendation technique(S) recommenders for content-based Iván et al., [7] proposed a hybrid recommender system named: News@hand, which combined content features and collaborative information to make  ... 
doi:10.3991/ijet.v16i03.18851 fatcat:e5br2bdqmvgn7lb7huqmhww3we

A multilayer ontology-based hybrid recommendation model

Iván Cantador, Alejandro Bellogín, Pablo Castells
2008 AI Communications  
We propose a novel hybrid recommendation model in which user preferences and item features are described in terms of semantic concepts defined in domain ontologies.  ...  Taking advantage of the enhanced semantics representation, user profiles are compared at a finer grain size than they are in usual recommender systems.  ...  The expressed content is the view of the authors but not necessarily the view of the MESH or S5T projects as a whole.  ... 
doi:10.3233/aic-2008-0437 fatcat:xqz7zrx4jfhexkorvslhxwffuu

Hybrid Content and Tag-based Profiles for Recommendation in Collaborative Tagging Systems

Daniela Godoy, Analía Amandi
2008 2008 Latin American Web Conference  
In this paper we propose a hybrid user profiling strategy that takes advantage of both content-based profiles describing long-term information interests that a recommender system can acquired along time  ...  Collaborative tagging systems have grown in popularity over the Web in the last years on account of their simplicity to categorize and retrieve content using open-ended tags.  ...  This method showed promising results in News@hand, a news recommender system.  ... 
doi:10.1109/la-web.2008.15 dblp:conf/la-web/GodoyA08 fatcat:zv2lomvvmbb63d5gzvaarqtkgm

Folksonomy-Based Recommender Systems: A State-of-the-Art Review

Daniela Godoy, Alejandro Corbellini
2015 International Journal of Intelligent Systems  
In this context, tripartite relationships between users, resources and tags contained in folksonomies set new challenges for knowledge discovery approaches to be applied with recommendation purposes.  ...  Current recommendation approaches stemming from elds such as user modeling, collaborative ltering, content and link-analysis are reviewed and discussed in order to provide a starting point for researchers  ...  Integrated in News@hand, a news recommender system, this method showed promising results.  ... 
doi:10.1002/int.21753 fatcat:ylf6d4a3ybdkpjrytblvgkvbuu

Terms of a Feather: Content-Based News Recommendation and Discovery Using Twitter [chapter]

Owen Phelan, Kevin McCarthy, Mike Bennett, Barry Smyth
2011 Lecture Notes in Computer Science  
We describe a social news service called Buzzer that is capable of adapting to the conversations that are taking place on Twitter to ranking personal RSS subscriptions.  ...  In this work, we propose that this data can be harnessed as a useful source of recommendation knowledge.  ...  Content-based approaches are widely discussed in many branches of recommender systems [2, 9, 13, 14] . Examples such as the News@Hand semantic system by Cantador et al.  ... 
doi:10.1007/978-3-642-20161-5_44 fatcat:3dmrvqrtsvcwxljl3ixsboqeru

Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations

Toon De Pessemier, Sam Leroux, Kris Vanhecke, Luc Martens
2015 ACM Conference on Recommender Systems  
GroupLens used collaborative filtering to generate recommendations for Usenet news and was evaluated by a public trial with users from over a dozen newsgroups.  ...  This research identified some important challenges involved in creating a news recommender system. SCENE [15] is such a news service.  ...  The News@hand system [5] is a news recommender which applies semantic-based technologies to describe and relate news contents and user preferences in order to produce enhanced recommendations.  ... 
dblp:conf/recsys/PessemierLVM15 fatcat:xeduywbs6vfazm4gc474mg3tny

Ontology-Supported Web Recommender for Scholar Information

Sheng-Yuan Yang, Chun-Liang Hsu
2009 2009 Ninth International Conference on Hybrid Intelligent Systems  
This paper combined a data mining tool SPSS Clementine with the domain ontology to mine out usefully important information from huge datum, and then to employ Java to develop an information recommender  ...  information has become extremely important capability in users on the Web.  ...  Acknowledgement The authors would like to thank Sie-Yi Luo and You-Ren Jhang for their assistance in system implementation and experiments.  ... 
doi:10.1109/his.2009.61 dblp:conf/his/YangH09 fatcat:so6kiatabzcipdta6ckkezdxti

Personalized Recommendation System Based on WSN

Zhijun Zhang, Gongwen Xu, Pengfei Zhang, Yongkang Wang
2016 International Journal of Online Engineering (iJOE)  
In order to retrieve the tourist attractions conforming to the users' needs from a large amount of the tourist information, a personalized recommendation model based on the ontology technology and travel  ...  system, a new user modeling method based on wireless sensor network and ontology technology is introduced in this paper.  ...  [15] proposed personalized information recommendation system News@hand, which based on the ontology.  ... 
doi:10.3991/ijoe.v12i10.6207 fatcat:jfl6hgtd6vblfb5onipl5sosbu
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