Filters








130,769 Hits in 8.2 sec

Combining preference- and content-based approaches for improving document clustering effectiveness

Chih-Ping Wei, Chin-Sheng Yang, Han-Wei Hsiao, Tsang-Hsiang Cheng
<span title="">2006</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v5dch4enzne6phusiwdh25za24" style="color: black;">Information Processing &amp; Management</a> </i> &nbsp;
Specifically, we propose a hybrid document clustering technique that combines preference-and content-based approaches.  ...  Using a traditional content-based and a preference/ content switching document clustering technique as performance benchmarks, our empirical evaluation results show that the proposed hybrid technique improves  ...  Design of preference-and content-based document clustering technique The proposed hybrid document clustering technique, which combines the preference-and content-based approaches, takes as its inputs the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2005.06.008">doi:10.1016/j.ipm.2005.06.008</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6lhdvnyai5e5hixop7tbavxk64">fatcat:6lhdvnyai5e5hixop7tbavxk64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110428230611/http://dblab.mgt.ncu.edu.tw:80/%E6%95%99%E6%9D%90/2006%20DM/41.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/1d/b4/1db4e48af55006c0062beb8f0193f3b2d3c49595.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2005.06.008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Exploiting Wikipedia as external knowledge for document clustering

Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, Xiaohua Zhou
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD &#39;09</a> </i> &nbsp;
Then the text documents are clustered based on a similarity metric which combines document content information, concept information as well as category information.  ...  The experimental results using the proposed clustering framework on three datasets (20-newsgroup, TDT2, and LA Times) show that clustering performance improves significantly by enriching document representation  ...  We believe that our findings can be extended to other applications based on document similarity measurement, such as information retrieval and text classification.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1557019.1557066">doi:10.1145/1557019.1557066</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/HuZLPZ09.html">dblp:conf/kdd/HuZLPZ09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l7puoy6mbjbafpt7xlkzkmki7e">fatcat:l7puoy6mbjbafpt7xlkzkmki7e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100614032722/http://www.cis.drexel.edu/faculty/thu/research-papers/fp294-hu.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/20/94/20946812cbb90c866b0928c7a8e3b5c36b62a600.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1557019.1557066"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

A Hybrid Context Based Approach for Web Information Retrieval

W. Aisha Banu, P. Sheikh Abdul Kader
<span title="2010-11-10">2010</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
These algorithms are either content based or snippet based and perform a clustered outcome re-ranking of the content for the user.  ...  This work proposes a hybrid approach to content clustering that combines the best of the web information retrieval methods and also uses the personal preference information of the users modeling a wide  ...  Thus, it combines the best of the flat and hierarchical approaches in a hybrid manner for effective information retrieval.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/1493-2010">doi:10.5120/1493-2010</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cm4kilsmfrartia4cfoosncz6i">fatcat:cm4kilsmfrartia4cfoosncz6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812085221/http://www.ijcaonline.org/volume10/number7/pxc3872010.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/91/16/91166de200e0d3d5f0f6abfda6372b41a5b3167f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/1493-2010"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Accommodating Individual Preferences in the Categorization of Documents: A Personalized Clustering Approach

Chih-Ping Wei, Roger H.L. Chiang, Chia-Chen Wu
<span title="">2006</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/54mp5eekpzbfrgawwofa3str7a" style="color: black;">Journal of Management Information Systems</a> </i> &nbsp;
.; and Cheng, T.H. Combining preference- and content- based approaches for improving document clustering effectiveness. Information Processing and Management, 42, 2 (March 2006), 350—372. 44.  ...  Non-Content-Based and Hybrid Approaches Prior research has proposed non-content-based and hybrid document clustering ap- proaches [9, 18, 47] that could be applied for personalized document clustering.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2753/mis0742-1222230208">doi:10.2753/mis0742-1222230208</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eozwwgktzvbpjkyrgrwbo6ychy">fatcat:eozwwgktzvbpjkyrgrwbo6ychy</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/details/sim_journal-of-management-information-systems_fall-2006_23_2/page/173" title="read fulltext microfilm" 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> Archive [Microfilm] <div class="menu fulltext-thumbnail"> <img src="https://archive.org/serve/sim_journal-of-management-information-systems_fall-2006_23_2/__ia_thumb.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2753/mis0742-1222230208"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Hybrid Recommender System for Dynamic Web Users

Shiva Nadi, Mohammad Hossein Saraee, Ayoub Bagheri
<span title="2011-03-01">2011</span> <i title="Infonomics Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/phzlpka4czenld43hbp6yqwnae" style="color: black;">International Journal of Multimedia and Image Processing</a> </i> &nbsp;
In offline step the behavior of users' models with a combined FCM and ant based clustering algorithm and in online step suitable recommendations extracts for presenting to active user.  ...  In this paper, applying a hybrid collaboration and content based technique a model for recommendation system is proposed. Presented model works in two offline and online phases.  ...  Document Clustering In this work, we used content mining approach for document clustering. Assume , , … , is the set of k website's pages.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.20533/ijmip.2042.4647.2011.0001">doi:10.20533/ijmip.2042.4647.2011.0001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5orax7guofaotodoiojd2cejxu">fatcat:5orax7guofaotodoiojd2cejxu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602182837/http://infonomics-society.org/wp-content/uploads/ijmip/published-papers/volume-1-2011/A-Hybrid-Recommender-System-for-Dynamic-Web-Users.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/a9/41/a941be92793daf61115e43f3fc0195535612346d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.20533/ijmip.2042.4647.2011.0001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items

Jorge Castro, Raciel Yera, Ahmad A. Alzahrani, Pedro J. Sanchez, Manuel Barranco, Luis Martinez
<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;
Content-Based recommender systems (CB) filter relevant items to users in overloaded search spaces using information about their preferences.  ...  However, classical CB scheme is mainly based on matching between items descriptions and user profile, without considering that context may influence user preferences.  ...  The traditional Latent Semantic Analysis is a very popular and effective approach in content-based recommendation [13] , and could be applied in the current scenario.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2957881">doi:10.1109/access.2019.2957881</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cb7bzwqxjfemllvvwnqdsmzur4">fatcat:cb7bzwqxjfemllvvwnqdsmzur4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429044619/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08924671.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/f5/14/f51412ac8e76f9bb05d3d26ce63023b69bffecd4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2957881"> <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>

Classification of Consumer Belief Statements From Social Media [article]

Gerhard Hagerer and Wenbin Le and Hannah Danner and Georg Groh
<span title="2021-06-29">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
For scenario b) we compare abstract class labels given by the domain expert as baseline and by automatic hierarchical clustering.  ...  We compare this to another baseline where the entire class structure is given by a completely unsupervised clustering approach.  ...  This result shows the beneficial properties of the approach for effective classification, and it demonstrates that it could improve classification over manual, domain expert-based class labels.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.15498v1">arXiv:2106.15498v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2zctkylvsbehfdxcvzpyki2cme">fatcat:2zctkylvsbehfdxcvzpyki2cme</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210701092518/https://arxiv.org/pdf/2106.15498v1.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/8b/37/8b37fa1ffbd551163ea5d6cc7e83b719c2368593.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.15498v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

MediaRec: A Hybrid Media Recommender System

Tanmay Bhuskute, Amit Jeve, Nihal Shah, Tejas Shah, B. A. Patil
<span title="2022-05-31">2022</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
It uses both Collaborative based filtering system and Content based filtering system for recommending media.  ...  Previous approaches in recommender system (RS) include Content based filtering and Collaborative filtering.  ...  In this paper, to improve the quality of a movie recommendation system, a Hybrid approach by combining content based filtering and collaborative filtering, using Support Vector Machine as a classifier  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2022.42927">doi:10.22214/ijraset.2022.42927</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j3esorpvwfc3plenrmr4hwlomu">fatcat:j3esorpvwfc3plenrmr4hwlomu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220528004458/https://www.ijraset.com/best-journal/mediarec-a-hybrid-media-recommender-system" 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/da/ec/daec89205b47be505afdaebf0c606f88d88ac718.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2022.42927"> <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>

Recommender Systems, Semantic-Based [chapter]

Fatih Gedikli, Dietmar Jannach
<span title="">2014</span> <i title="Springer New York"> Encyclopedia of Social Network Analysis and Mining </i> &nbsp;
The idea behind tag clusters is to account for the effects of unsupervised tagging such as redundancy and ambiguity.  ...  These weighting and similarity functions are then combined in different content-based recommendation models.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4614-6170-8_116">doi:10.1007/978-1-4614-6170-8_116</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qdiedjovxrauxjitbpjx7zi3qe">fatcat:qdiedjovxrauxjitbpjx7zi3qe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809203938/http://ls13-www.cs.tu-dortmund.de/homepage/publications/jannach/BOOK_SocialNetworksEnc_2014.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/8e/17/8e171e40f638223cdb3e414321b1881edd29f712.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4614-6170-8_116"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An Improved Approach to Extract Document Summaries Based on Popularity [chapter]

P. Arun Kumar, K. Praveen Kumar, T. Someswara Rao, P. Krishna Reddy
<span title="">2005</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In the literature, weight-based, foci-based, and machine learning approaches have been proposed. In this paper, we propose a popularity-based approach for text summarization.  ...  The experiment results show that by applying both popularity and weight-based criteria it is possible to extract effective summaries.  ...  Therefore, hybrid approach combines advantages of both approaches and generates effective summaries.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-31970-2_25">doi:10.1007/978-3-540-31970-2_25</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sgzei3sfrvd4jmm3kiwa7sdg6a">fatcat:sgzei3sfrvd4jmm3kiwa7sdg6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809053442/https://web.iiit.ac.in/~arunkumar/Paper.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/aa/1f/aa1fa6a094f4b8c70926d272c37b684c993d055d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-31970-2_25"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Mining User Profile Exploitation Cluster from Computer Program Logs
English

K.G.S. Venkatesan, Dr. V. Khanna, r Jay Prakash Thaku
<span title="2015-03-30">2015</span> <i title="Ess &amp; Ess Research Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vzhjis6iijfe5gwwloxj4ecjr4" style="color: black;">International Journal of Innovative Research in Computer and Communication Engineering</a> </i> &nbsp;
User identification User identification strategy may be either document based or construct based.  ...  Concept-based user identification strategies deals with each positive and negative preferences.  ...  Negative preferences improve the separation of comparable and dissimilar queries. User identification ways ar query-oriented. Profile is formed for every user queries [4] . II.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15680/ijircce.2015.0303022">doi:10.15680/ijircce.2015.0303022</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zqfuf7q4mvgpdeavqq776vui6i">fatcat:zqfuf7q4mvgpdeavqq776vui6i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160819155811/http://www.rroij.com/open-access/mining-user-profile-exploitation-cluster-fromcomputer-program-logs.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/c6/97/c6978391e9976c4f65087539ccf72884bd23362f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15680/ijircce.2015.0303022"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

A Movie Recommender System Using Hybrid Approach: A Review

Sara Mohile, Hemant Ramteke, Pragati Shelgaonkar, Hritika Phule, M. M. Phadtare
<span title="2022-03-31">2022</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
MOVREC also assists users in efficiently and effectively locating movies of their choice based on the movie experiences of other users, without wasting time in pointless searching.  ...  A recommender system, also known as a recommendation system, is a type of material filtering system that attempts to forecast a user's "rating" or "preference" for an item.  ...  We'd prefer more data so that our system can produce more useful findings. If we can combine multiple machine learning and clustering techniques, we will be able to compare their outcomes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2022.41014">doi:10.22214/ijraset.2022.41014</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ypdhtsrygbcgfgii5izip6akki">fatcat:ypdhtsrygbcgfgii5izip6akki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220519234019/https://www.ijraset.com/best-journal/movie-recommender-system-using-hybrid-approach" 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/2a/e1/2ae11d1452442ef300adb6c266d65c81061d3374.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2022.41014"> <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>

Self-tuning Personalized Information Retrieval in an Ontology-Based Framework [chapter]

Pablo Castells, Miriam Fernández, David Vallet, Phivos Mylonas, Yannis Avrithis
<span title="">2005</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Early Experiments We are testing our techniques on a corpus of documents from the CNN web site, 5 comprising 145,316 documents (445 MB).  ...  The expressed content is the view of the authors but not necessarily the view of the aceMedia project as a whole.  ...  Our approach for extracting preferences from the history of user interaction consists of the clustering of documents based on the semantic annotation that matches concepts to documents, by which common  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11575863_119">doi:10.1007/11575863_119</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/htdjqohyljhftluq4ilyuv37ui">fatcat:htdjqohyljhftluq4ilyuv37ui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922091247/https://repositorio.uam.es/bitstream/handle/10486/665073/self-tuning_castells_LNCS_2005_ps.pdf?sequence=1" 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/e2/6b/e26bb8201daff7323d2dd2cd7d7dd5081d3574a3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11575863_119"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Hybrid content and collaborative filtering based recommendation system for e-learning platforms

Venkata Bhanu Prasad Tolety, Evani Venkateswara Prasad
<span title="2022-06-01">2022</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mwj5yys4mnek7al64kpw5psjqi" style="color: black;">Bulletin of Electrical Engineering and Informatics</a> </i> &nbsp;
On the other end of the spectrum are content-based filtering approaches.  ...  In this work, we present a hybrid recommendation system that combines the desirable characteristics of collaborative filtering, as well as from content-based filtering, for the task of recommending course  ...  Perform soft/fuzzy K-means clustering to partition documents into clusters 5. Initialize the content vector for each document, using the cluster membership computed in step 4 above 6.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/eei.v11i3.3861">doi:10.11591/eei.v11i3.3861</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/37t4klwp4jfz7jbnp2cijmpjw4">fatcat:37t4klwp4jfz7jbnp2cijmpjw4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220530013517/https://beei.org/index.php/EEI/article/download/3861/2671" 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/f4/e7/f4e7c666ea915fe39c78071d15bc99de20c81db7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/eei.v11i3.3861"> <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>

Document recommendations based on knowledge flows: A hybrid of personalized and group-based approaches

Duen-Ren Liu, Chin-Hui Lai, Ya-Ting Chen
<span title="2012-09-10">2012</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/irrfofzyh5dn5jykwm6u5zvb5e" style="color: black;">Journal of the American Society for Information Science and Technology</a> </i> &nbsp;
Recommender systems can mitigate the information overload problem and help workers retrieve knowledge based on their preferences.  ...  Thus, we leverage the group perspective to complement the personal perspective by using hybrid approaches, which combine the KF-based group recommendation method (KFGR) with traditional personalized-recommendation  ...  To improve the efficiency of teamwork, Zhuge (2006b) proposed a pattern-based approach that combines codification and personalization strategies to form an effective KF network while S.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/asi.22705">doi:10.1002/asi.22705</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o3wdghqrmnf43dtdcueslghf5a">fatcat:o3wdghqrmnf43dtdcueslghf5a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170816000427/https://ir.nctu.edu.tw/bitstream/11536/16825/1/000308888400016.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/23/48/2348f9a132beb4cec788f21804d87ad424c89701.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/asi.22705"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 130,769 results