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Ontological user profiling in recommender systems

Stuart E. Middleton, Nigel R. Shadbolt, David C. De Roure
<span title="2004-01-01">2004</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a2o77szzyngfjiyr6oftvf2ts4" style="color: black;">ACM Transactions on Information Systems</a> </i> &nbsp;
Ontological inference is shown to improve user profiling, external ontological knowledge used to successfully bootstrap a recommender system and profile visualization employed to improve profiling accuracy  ...  Our two experimental systems, Quickstep and Foxtrot, create user profiles from unobtrusively monitored behaviour and relevance feedback, representing the profiles in terms of a research paper topic ontology  ...  ONTOLOGICAL USER PROFILING AND PROFILE INFERENCE Our ontological approach to recommender systems, shown in figure 2, involves various sub-processes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/963770.963773">doi:10.1145/963770.963773</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7qma4c2v2vfznl62c66lvefxam">fatcat:7qma4c2v2vfznl62c66lvefxam</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170816162746/https://eprints.soton.ac.uk/258926/1/tois2004.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3b/aa/3baab859ecf3db59334251b01258b40ce1298e06.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/963770.963773"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Improving the effectiveness of collaborative recommendation with ontology-based user profiles

Ahu Sieg, Bamshad Mobasher, Robin Burke
<span title="">2010</span> <i title="ACM Press"> Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems - HetRec &#39;10 </i> &nbsp;
In this paper, we describe how ontological user profiles are learned, incrementally updated, and used for collaborative recommendation.  ...  User profiles are defined relative to the ontology, giving rise to an ontological user profile.  ...  An ontological approach to user profiling has proven to be successful in addressing the cold-start problem in recommender systems where no initial information is available upon which to base recommendations  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1869446.1869452">doi:10.1145/1869446.1869452</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pipflc6elndgrggdgzt6254vgq">fatcat:pipflc6elndgrggdgzt6254vgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809015544/http://josquin.cs.depaul.edu/~rburke/pubs/sieg-etal-hetrec10.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/13/16/13163fd71e1fbc5e1c52b5a286eb67574eb1bd6a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1869446.1869452"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

AN ONTOLOGY-BASED TOURISM RECOMMENDER SYSTEM BASED ON SPREADING ACTIVATION MODEL

Z. Bahramian, R. Ali Abbaspour
<span title="2015-12-10">2015</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
The proposed content-based recommender system is enhanced using the ontological information about tourism domain to represent both the user profile and the recommendable POIs.  ...  The proposed ontology-based recommendation process is performed in three steps including: ontology-based content analyzer, ontology-based profile learner, and ontology-based filtering component.  ...  In ontology-based recommender system, spreading activation can be used to learn the user profile dynamically which explain in the next section.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xl-1-w5-83-2015">doi:10.5194/isprsarchives-xl-1-w5-83-2015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j5dqxloujzgpljummp54lmzyfe">fatcat:j5dqxloujzgpljummp54lmzyfe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171202082208/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W5/83/2015/isprsarchives-XL-1-W5-83-2015.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/30/42/30429778ec7295af77326ca669e4969fd3710b62.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xl-1-w5-83-2015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Context-aware ontological schemes for multimedia personalization

Chakoo Nalin, Han Jonghun, Bahk Saewoong
<span title="">2011</span> <i title="IEEE"> ICTC 2011 </i> &nbsp;
The contributions of this paper are three-fold: a) to utilize and leverage the concept of ontology in p2p-based recommender system, b) to evaluate ontologically expanded user-profile for similarity evaluation  ...  Our method enriches user-profile vector for enhanced similarity evaluation with other peer-users in p2p network.  ...  In such scenario, a user-profile forms the basis of such personalized content recommendation in P2P-based recommender systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/ictc.2011.6082599">doi:10.1109/ictc.2011.6082599</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/deltgc4nengvbhh5eccuzmnsbq">fatcat:deltgc4nengvbhh5eccuzmnsbq</a> </span>
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Trajectory Based Location Prediction and Enriched Ontological User Profiles for Efficient Website Recommendation

<span title="2020-09-30">2020</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
The combination of location information along with enriched ontological user profiles improves the efficiency of the proposed web recommendation system.  ...  The drawbacks of the conventional systems are resolved by the Location and User Profile (LUP) based recommendation system.  ...  The ontology based user profiling resolves the cold-start issue in the web recommendation systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.c4363.099320">doi:10.35940/ijrte.c4363.099320</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s6zrljnjcvhtznyajveo4zv3fe">fatcat:s6zrljnjcvhtznyajveo4zv3fe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200925090121/https://www.ijrte.org/wp-content/uploads/papers/v9i3/C4363099320.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.c4363.099320"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Capturing interest through inference and visualization

Stuart E. Middleton, Nigel R. Shadbolt, David C. De Roure
<span title="">2003</span> <i title="ACM Press"> Proceedings of the international conference on Knowledge capture - K-CAP &#39;03 </i> &nbsp;
We explore an ontological approach to user profiling in the context of a recommender system.  ...  Both our ontological approach to user profiling and our visualization of user profiles are novel ideas to recommender systems.  ...  Contribution In the context of recommender systems: 1. Novel ontological profile representation, allowing ontological inference in the user-profiling algorithm. 2.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/945649.945657">doi:10.1145/945649.945657</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ljca6rs7kraitdytexmfqcec2m">fatcat:ljca6rs7kraitdytexmfqcec2m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170814151716/https://eprints.soton.ac.uk/258932/1/kcap2003.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/17/d7176779fcdddcb3c4a648dbdc6f78643c775944.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/945649.945657"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Capturing interest through inference and visualization

Stuart E. Middleton, Nigel R. Shadbolt, David C. De Roure
<span title="">2003</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hyatneilgnhgzabs3w5mitm2hi" style="color: black;">Proceedings of the international conference on Knowledge capture - K-CAP &#39;03</a> </i> &nbsp;
We explore an ontological approach to user profiling in the context of a recommender system.  ...  Both our ontological approach to user profiling and our visualization of user profiles are novel ideas to recommender systems.  ...  Contribution In the context of recommender systems: 1. Novel ontological profile representation, allowing ontological inference in the user-profiling algorithm. 2.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/945645.945657">doi:10.1145/945645.945657</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kcap/MiddletonSR03.html">dblp:conf/kcap/MiddletonSR03</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hrtm3czoanc5pneigkrud2ez3u">fatcat:hrtm3czoanc5pneigkrud2ez3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170814151716/https://eprints.soton.ac.uk/258932/1/kcap2003.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/17/d7176779fcdddcb3c4a648dbdc6f78643c775944.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/945645.945657"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Ontology-Based Personalized Course Recommendation Framework

Mohammed E. Ibrahim, Yanyan Yang, David L. Ndzi, Guangguang Yang, Murtadha Al-Maliki
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In addition, the quality of the recommendations is improved when the ontology similarity between the items' and the users' profiles were utilized.  ...  INDEX TERMS Information overload, recommendation systems, course recommender system, ontology, education domain.  ...  The system considers the levels of the ontology concepts in the user profile by classifying the ontology similarity to four levels.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2018.2889635">doi:10.1109/access.2018.2889635</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y66tikzp3rd57p7o2etcf2w3hi">fatcat:y66tikzp3rd57p7o2etcf2w3hi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201107225350/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08587168.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/be/5b/be5b90048e47a96c5b18cb173777ecf1df49f58e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2018.2889635"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

A Semantic VSM-Based Recommender System

Hadi Fanaee Tork, Mehran Yazdi
<span title="">2013</span> <i title="IACSIT Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/473y5rd3tfgnvnlxddqa5aqeoa" style="color: black;">Journal of clean energy technologies</a> </i> &nbsp;
as an input in two kind of RS: one, fully ontology-based and one with enriching the user profile vector with ontology in vector space model (VSM) (proposed method).  ...  Therefore, employment of a Recommender System (RS) that could suggest favorite's topics of users according to their tastes could increases the dynamism of forum and prevent the users from duplicate posts  ...  Proposed Recommender System In our proposed method, we enrich the user profiles vector in VSM [30] by ontology instead of presenting profiles by ontology.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijcte.2013.v5.704">doi:10.7763/ijcte.2013.v5.704</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ckyrlrkyanhgniti44hgqwfp5y">fatcat:ckyrlrkyanhgniti44hgqwfp5y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720133336/http://www.ijcte.org/papers/704-I544.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f2/0a/f20af2efecee35213ac1045af8ce4891c4ff2fd7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7763/ijcte.2013.v5.704"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A CONTEXT-AWARE TOURISM RECOMMENDER SYSTEM BASED ON A SPREADING ACTIVATION METHOD

Z. Bahramian, R. Ali Abbaspour, C. Claramunt
<span title="2017-09-27">2017</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user's preferences, the proposed system is enhanced using an ontology  ...  We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user's feedback.  ...  In an ontology-based recommender system, spreading activation can be used to learn the user profile dynamically as explained in the next section.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-4-w4-333-2017">doi:10.5194/isprs-archives-xlii-4-w4-333-2017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nnf4lmyhkzbk5nywcq7gmyz6w4">fatcat:nnf4lmyhkzbk5nywcq7gmyz6w4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171202224242/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/333/2017/isprs-archives-XLII-4-W4-333-2017.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ae/cc/aecc1bd8ce63ea5d5bf4ffc1e806b1805d9f2626.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-4-w4-333-2017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Ontology-Based User Profiling for Personalized Acces to Information within Collaborative Learning System

Mohammed Amine Alimam, Yasyn Elyusufi, Hamid Seghiouer
<span title="">2014</span> <i title="Euro-Mediterranean University"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dcutt6w74nchbm6jm7it7mibxi" style="color: black;">International Journal of Euro-Mediterranean Studies</a> </i> &nbsp;
The paper is concluded by presenting experiment results, revealing that the use of the subject ontology extension approach satisfyingly contributes to improvement in the accuracy of system recommendations  ...  and constructing semantic users' profiles.  ...  User Interests and Ontology User interests are among the most important parts of user's profile in information retrieval, filtering systems, recommender systems, some interface agents, and adaptive systems  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://doaj.org/article/35903f37cc714b35b3a5ccab2d346c84">doaj:35903f37cc714b35b3a5ccab2d346c84</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cfa2czehifdrrautzwtw6kpju4">fatcat:cfa2czehifdrrautzwtw6kpju4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180417153813/http://www.emuni.si:80/press/ISSN/1855-3362/7_061-078.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8d/3b/8d3b090186e54a6c230cd2551e028e08ae3bbf52.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

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

Bahram Amini, Roliana Ibrahim, Mohd Shahizan Othman
<span title="2011-08-30">2011</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> International Journal of Computer Science &amp; Engineering Survey </i> &nbsp;
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.  ...  The effectiveness of recommender systems depends mainly on the completeness and accuracy of knowledge maintained in the user profiles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcses.2011.2301">doi:10.5121/ijcses.2011.2301</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l3wymqfgqbhovhiy72osnb6hja">fatcat:l3wymqfgqbhovhiy72osnb6hja</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603212027/http://www.airccse.org/journal/ijcses/papers/0811cses01.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ae/5b/ae5bb1a66fcf65a4eb185e74d6e13d2c5e929931.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcses.2011.2301"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Semantic Social Recommender System Using Ontologies Based Approach For Tunisian Tourism

Mohamed FRIKHA, Mohamed MHIRI, Faiez GARGOURI
<span title="2015-10-06">2015</span> <i title="Ediciones Universidad de Salamanca"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uv4u6utturf4hbnxzoqz74dqd4" style="color: black;">Advances in Distributed Computing and Artificial Intelligence Journal</a> </i> &nbsp;
In this paper, we present a semantic social recommender system employing a user interest ontology and a Tunisian Medical Tourism ontology.  ...  Integrating social networks in Tunisian medical tourism recommender systems can result in much more accurate recommendations.  ...  With these answers, our system will know the initial user profile of this user to represent it in the user interest ontology.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14201/adcaij20154190106">doi:10.14201/adcaij20154190106</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ua47tocjnzervj2bjal7t6h63u">fatcat:ua47tocjnzervj2bjal7t6h63u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922005400/https://gredos.usal.es/jspui/bitstream/10366/127624/1/A_Semantic_Social_Recommender_System_Usi.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b0/a8/b0a8239e99307d81b325cd61cdf01da4701c2ab3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14201/adcaij20154190106"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Ontology-based Recommender System in Higher Education

Charbel Obeid, Inaya Lahoud, Hicham El Khoury, Pierre-Antoine Champin
<span title="">2018</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW &#39;18</a> </i> &nbsp;
This paper represents an approach for developing ontology-based recommender system improved with machine learning techniques to orient students in higher education.  ...  The main objective of our ontology-based recommender system is to identify the student requirements, interests, preferences and capabilities to recommend the appropriate major and university for each one  ...  Then, we create the user profile model based on the user ontology model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3184558.3191533">doi:10.1145/3184558.3191533</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/ObeidLKC18.html">dblp:conf/www/ObeidLKC18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p3aac2mqgngg7h2gsszcyphfkm">fatcat:p3aac2mqgngg7h2gsszcyphfkm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306110553/https://hal-univ-lyon1.archives-ouvertes.fr/hal-02288141/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8f/28/8f28d1303c45221e43a0478792d1c8fd0214dbb5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3184558.3191533"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A research paper recommender system using a Dynamic Normalized Tree of Concepts model for user modelling

Modhi Al Alshaikh, Gulden Uchyigit, Roger Evans
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yeon3gktwneotgga2l7h6sa3z4" style="color: black;">2017 11th International Conference on Research Challenges in Information Science (RCIS)</a> </i> &nbsp;
Recommender systems provide a solution to this problem by automatically capturing user interests and recommending related information the user may also find interesting.  ...  In this paper, we present a novel recommender system for the research paper domain using a Dynamic Normalized Tree of Concepts (DNTC) model.  ...  Often dynamic recommender systems use an ontology to create the user's profile as vector of concepts [4] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/rcis.2017.7956538">doi:10.1109/rcis.2017.7956538</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/rcis/AlshaikhUE17.html">dblp:conf/rcis/AlshaikhUE17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jlb6xutbvvc7ni5x6rlggqyuxm">fatcat:jlb6xutbvvc7ni5x6rlggqyuxm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719161211/http://eprints.brighton.ac.uk/17003/1/rcis17.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d1/05/d105ab79f26ac212b1f0276494d1dec74c4ac22c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/rcis.2017.7956538"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
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