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Axiomatic Analysis of Language Modelling of Recommender Systems

Daniel Valcarce, Javier Parapar, Álvaro Barreiro
<span title="">2017</span> <i title="World Scientific Pub Co Pte Lt"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2mchw27ezjaivoukjltsyavclq" style="color: black;">International Journal of Uncertainty Fuzziness and Knowledge-Based Systems</a> </i> &nbsp;
Language Models constitute an effective framework for text retrieval tasks. Recently, it has been extended to various collaborative filtering tasks.  ...  Since relevance-based language models rely on user neighbourhoods for producing recommendations, we propose to use the query likelihood model for computing those neighbourhoods instead of cosine similarity  ...  the performance of relevance models for collaborative filtering with two different neighbourhood approaches.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0218488517400141">doi:10.1142/s0218488517400141</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wyxb5gk4ffajhkyph7utem6zju">fatcat:wyxb5gk4ffajhkyph7utem6zju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218042039/http://pdfs.semanticscholar.org/0934/7bac161b7ff21ad8f2bd8effaacda5eb9043.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/09/34/09347bac161b7ff21ad8f2bd8effaacda5eb9043.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0218488517400141"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> worldscientific.com </button> </a>

Utilizing Physical and Social Context to Improve Recommender Systems

Wolfgang Woerndl, Georg Groh
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wl6t75bdqrdlrgsukwo2coosly" style="color: black;">2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops</a> </i> &nbsp;
Finally, we describe our approach to utilize social networks to enhance collaborative filtering.  ...  Our evaluation shows that the social recommender outperforms traditional collaborative filtering algorithms in our scenario.  ...  We compared the collaborative filtering neighbourhood creation with the social neighbourhood creation on each of the 25 variants of M ur .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wiiatw.2007.4427555">doi:10.1109/wiiatw.2007.4427555</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iat/WoerndlG07.html">dblp:conf/iat/WoerndlG07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cgyb7sofxnhjvl6ufxvcdvxusy">fatcat:cgyb7sofxnhjvl6ufxvcdvxusy</a> </span>
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Exploring Statistical Language Models for Recommender Systems

Daniel Valcarce
<span title="2015-09-16">2015</span> <i title="ACM"> Proceedings of the 9th ACM Conference on Recommender Systems </i> &nbsp;
We think that probabilistic methods taken from the latter field such as statistical Language Models can be a more effective and formal way for generating personalised ranks of recommendations.  ...  Notwithstanding the fact that these algebraic Collaborative Filtering methods have been demonstrated to be very effective in the rating prediction task, they do not generally provide good results in the  ...  RELEVANCE-BASED LANGUAGE MODELS FOR CF Parapar et al. adapted the Pseudo-Relevance Feedback framework to the Collaborative Filtering recommendation task [13] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2792838.2796547">doi:10.1145/2792838.2796547</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/boysov4tpjcblamiqszbbelgoq">fatcat:boysov4tpjcblamiqszbbelgoq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705113415/http://www.dc.fi.udc.es/%7Edvalcarce/pubs/valcarce-recsys2015-ds.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/bc/e5/bce5e140209da7ecff1a6cf6101060de73191f99.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2792838.2796547"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Utilizing Physical and Social Context to Improve Recommender Systems

Wolfgang Woerndl, Georg Groh
<span title="">2007</span> <i title="IEEE"> 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops </i> &nbsp;
Finally, we describe our approach to utilize social networks to enhance collaborative filtering.  ...  Our evaluation shows that the social recommender outperforms traditional collaborative filtering algorithms in our scenario.  ...  We compared the collaborative filtering neighbourhood creation with the social neighbourhood creation on each of the 25 variants of M ur .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wi-iatw.2007.123">doi:10.1109/wi-iatw.2007.123</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/goaslgdsfncqpcj3dcy6by3n4y">fatcat:goaslgdsfncqpcj3dcy6by3n4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20090314033147/http://www11.in.tum.de:80/dokument.php?id_dokument=334" 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/56/1d/561d4147338563eb46b3d97f0cff8aeb05c58836.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wi-iatw.2007.123"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Relevance-based language modelling for recommender systems

Javier Parapar, Alejandro Bellogín, Pablo Castells, Álvaro Barreiro
<span title="">2013</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;
Models, commonly known as Relevance Models, are successful approaches to explicitly introduce the concept of relevance in the statistical Language Modelling framework of Information Retrieval.  ...  These models achieve state-of-the-art retrieval performance in the pseudo relevance feedback task.  ...  In Gu, Zhou, and Ding (2010) , a unified model is proposed for collaborative filtering based on a type of non-negative matrix factorisation algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2013.03.001">doi:10.1016/j.ipm.2013.03.001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d46d3t7ryjdujeyrpyd7rwt7ym">fatcat:d46d3t7ryjdujeyrpyd7rwt7ym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922045453/https://repositorio.uam.es/bitstream/handle/10486/663733/relevance-based_parapar_IPM_2013_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/b0/29/b029d147b6d74033e86f3af56a686dc438a74511.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ipm.2013.03.001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems [chapter]

Daniel Valcarce, Javier Parapar, Álvaro Barreiro
<span title="">2015</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
We tested the different methods under the recently presented Relevance-Based Language Models for collaborative filtering, and compared how the smoothing techniques behave in terms of precision and stability  ...  In this field, a Language Model is estimated for each user based on the probabilities of the items.  ...  Parapar et al. recently proposed the use of Relevance-Based Language Models for collaborative filtering [5] obtaining superior figures in precision w.r.t. the state of the art methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-16354-3_38">doi:10.1007/978-3-319-16354-3_38</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/22cu4zdbs5eunfikapylkjispq">fatcat:22cu4zdbs5eunfikapylkjispq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190308213533/http://pdfs.semanticscholar.org/eef1/e3815c9f1716511d7b0b9e5c37dfa9c61c97.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/ee/f1/eef1e3815c9f1716511d7b0b9e5c37dfa9c61c97.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-16354-3_38"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Probabilistic collaborative filtering with negative cross entropy

Alejandro Bellogin, Javier Parapar, Pablo Castells
<span title="">2013</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxvef3lblbcxbliuugiju5sify" style="color: black;">Proceedings of the 7th ACM conference on Recommender systems - RecSys &#39;13</a> </i> &nbsp;
language model has been introduced into a neighbour-based CF algorithm which outperforms other standard techniques in terms of ranking precision.  ...  We compute a relevance model for each user in order to capture how relevant any other user would be as a potential neighbour.  ...  . • The complete probabilistic model (RMCE) achieves even larger improvements. • Improvement in performance are consistent across different datasets We have also produced different mappings the involved  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2507157.2507191">doi:10.1145/2507157.2507191</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/recsys/BelloginPC13.html">dblp:conf/recsys/BelloginPC13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/txhoxfpkwjfwngmungvfqp7hzu">fatcat:txhoxfpkwjfwngmungvfqp7hzu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810011643/http://ir.ii.uam.es/~alejandro/2013/recsys-poster.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/d7/62/d762c95a8cf18124d3ad9b786f986d8efcccd6d8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2507157.2507191"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Evaluation of Similarity Functions by using User based Collaborative Filtering approach in Recommendation Systems
English

Shaivya Kaushik, Pradeep Tomar
<span title="2015-03-25">2015</span> <i title="Seventh Sense Research Group Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wczsapkvorbcbfmnmu4k6wonju" style="color: black;">International Journal of Engineering Trends and Technoloy</a> </i> &nbsp;
millions of users and items.The paper introduce user based collaborative filtering approach and the similarity function.The algorithm will identify relationships between different users and then compute  ...  large product spaces.The tremendous growth of visitors and the information poses few key challenges such as producing high quality recommendation systems,performing many recommendation systems per second for  ...  Fig1:Collaborative Filtering Structure Collaborative filtering algorithms are usually categorized into two subgroups: memory-based and model-based.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14445/22315381/ijett-v21p234">doi:10.14445/22315381/ijett-v21p234</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2hu5cjwzwvhobduv3hbirilz4y">fatcat:2hu5cjwzwvhobduv3hbirilz4y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810073225/http://www.ijettjournal.org/2015/volume-21/number-4/IJETT-V21P234.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/63/e4/63e44951bb0731d01d0d32dcc83fb7f08c0427d6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14445/22315381/ijett-v21p234"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems

Daniel Valcarce, Javier Parapar, Álvaro Barreiro
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xgajtezvc5fhjmcwolwzga7vqm" style="color: black;">Proceedings of the 4th Spanish Conference on Information Retrieval - CERI &#39;16</a> </i> &nbsp;
The use of Relevance-Based Language Models for top-N recommendation has become a promising line of research. Previous works have used collection-based smoothing methods for this task.  ...  However, a recent analysis on RM1 (an estimation of Relevance-Based Language Models) in document retrieval showed that this type of smoothing methods demote the IDF effect in pseudo-relevance feedback.  ...  Relevance-Based Language Models Relevance-based Language Models (often abbreviated as Relevance Models or simply RM) are a state-of-the-art technique for the pseudo-relevance feedback task in text retrieval  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2934732.2934737">doi:10.1145/2934732.2934737</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ceri/ValcarcePB16.html">dblp:conf/ceri/ValcarcePB16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ppfv7vpknzduxa76r5o3ofzkly">fatcat:ppfv7vpknzduxa76r5o3ofzkly</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160910063141/http://www.dc.fi.udc.es:80/~dvalcarce/pubs/valcarce-etal-ceri2016.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/0f/36/0f36625ca99359b96d6736a0027c5244f4484f5c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2934732.2934737"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Uncertain (Multi)Graphs for Personalization Services in Digital Libraries [chapter]

Claudio Taranto, Nicola Di Mauro, Floriana Esposito
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jyopc6cf5ze5vipjlm4aztcffi" style="color: black;">Communications in Computer and Information Science</a> </i> &nbsp;
The goal of the paper is to extend uncertain graphs definition to multigraphs and to study whether uncertain graphs could be used as a valuable tool for information filtering problems.  ...  In this paper we propose to use a probabilistic framework based on uncertain graphs in order to deal with information filtering problems.  ...  For each user in K we add a node with label user and for each item in K a node with label item. As in the approach based on the neighbourhood model we add the connections among nodes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-35834-0_15">doi:10.1007/978-3-642-35834-0_15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wiyadq4fmnemlfz74poingn5le">fatcat:wiyadq4fmnemlfz74poingn5le</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130108004424/http://www.di.uniba.it/~ndm/publications/files/taranto12ircdl.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/e9/b0/e9b0438a57406e359dd1dbc466d63164537e6c5c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-35834-0_15"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Development Framework for Mobile Social Applications [chapter]

Alexandre de Spindler, Michael Grossniklaus, Moira C. Norrie
<span title="">2009</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;
We show how the framework can be used by describing the development of a mobile application for collaborative filtering based on opportunistic information sharing.  ...  We present a framework designed to support the requirements of mobile social applications based on a notion of P2P data collections and a flexible event model that controls how and when data is exchanged  ...  Details of P2P collections and the event model are given in Sect. 4 and Sect. 5, respectively. In Sect. 6, we describe how the collaborative filtering application was implemented using the framework.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-02144-2_24">doi:10.1007/978-3-642-02144-2_24</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3yqgn4uivvce5igqd7vn3i3g34">fatcat:3yqgn4uivvce5igqd7vn3i3g34</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829144826/https://kops.uni-konstanz.de/bitstream/handle/123456789/27549/Spindler_275491.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/fb/62/fb62bc06a70be23836fb5deceea4c5ca6fa5fe4e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-02144-2_24"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Optimizing ELARS Algorithms Using NVIDIA CUDA Heterogeneous Parallel Programming Platform [chapter]

Vedran Miletić, Martina Holenko Dlab, Nataša Hoić-Božić
<span title="">2015</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kax3wwzwmncwhi472pxbzqsjja" style="color: black;">Advances in Intelligent Systems and Computing</a> </i> &nbsp;
The recommendations for students and groups in ELARS include four different types of items: Web 2.0 tools, collaborators (colleague students), optional e-learning activities, and advice.  ...  In that process we calculate cosine similarity [15] which is commonly used metric for collaborative filtering.  ...  Using collaborative filtering technique preference of the target student for target tool is predicted based on preferences of similar students (nearest neighbours) for target tool [1] . n case nearest  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-09879-1_14">doi:10.1007/978-3-319-09879-1_14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7ebbaoxsafburkpnnvu6vwv5ma">fatcat:7ebbaoxsafburkpnnvu6vwv5ma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200318184056/https://bib.irb.hr/datoteka/721322.ICT-Innovations-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/88/ae/88aee5ad69b669e935be609c25214e00f3f7a1ce.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-09879-1_14"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

IMPLEMENTATION OF ONLINE PRODUCT RECOMMENDATION SYSTEM USING COLLABORATIVE FILTERING

Shivani Patel, Thakur College of Engineering and Technology, University of Mumbai.
<span title="2019-09-30">2019</span> <i title="International Journal Of Advanced Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mmn4oevdbfbf5leqgrynhcypzm" style="color: black;">International Journal of Advanced Research</a> </i> &nbsp;
Recommendation system uses various technologies to recommend products viz Content filtering and Collaborative filtering.  ...  Collaborative filtering is a method to analyze the user"s behaviour by predicting the user"s taste to that of similar to another user.  ...  Architecture Model: The hybrid model in this paper is a combination of content based filtering and item based collaborative filtering.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21474/ijar01/9715">doi:10.21474/ijar01/9715</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wmsc5s7nbrakbo3mwyfpdtkr64">fatcat:wmsc5s7nbrakbo3mwyfpdtkr64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213124851/http://www.journalijar.com/uploads/237_IJAR-28875.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/e7/6a/e76a60ac550c84e4e865c59e5bb8991e2cbbf433.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21474/ijar01/9715"> <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>

Personalised Blog Recommendation System (PBRS)

Amit Panjani, Bhavik Jain, Rahul Bhardwaj, Deepali Vora
<span title="2017-04-17">2017</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;
This paper surveys the landscape of actual and possible hybrid recommender systems, and introduces a novel hybrid recommendation method that combines text mining, collaborative filtering, content-based  ...  Blog provides a simple way for people to share personal experiences and ideas, and has already become an important tool for people to communicate with each other.  ...  Collaborative Filtering (CF) [6] [9], on the other hand, is widely applied and used for article, movie, product, etc.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2017913713">doi:10.5120/ijca2017913713</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nr3vvgqkkzfiznzaqikszdlzka">fatcat:nr3vvgqkkzfiznzaqikszdlzka</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602203339/https://www.ijcaonline.org/archives/volume164/number10/panjani-2017-ijca-913713.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/5e/5a/5e5a70b549451ea0927986628be403fef1eca980.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2017913713"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Recommendation System Using Social Networking

yoti Pareek
<span title="2012-10-31">2012</span> <i title="Academy and Industry Research Collaboration Center (AIRCC)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/eimuhl25pvdg3a6gbvy2tjcgpi" style="color: black;">International Journal of Computer Science Engineering and Information Technology</a> </i> &nbsp;
Our proposed model SNetRS is a collaborative filtering based algorithm, which focuses on user preferences obtained from FaceBook. We have taken domain of books to illustrate our model.  ...  With the huge availability of product information on website, many times it becomes difficult for a consumer to locate item he wants to buy. Recommendation Systems [RS] provide a solution to this.  ...  For each item of an active user, the neighbourhood of most similar items is identified.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcseit.2012.2505">doi:10.5121/ijcseit.2012.2505</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pri7mqscwfffxeqbdba7ijoch4">fatcat:pri7mqscwfffxeqbdba7ijoch4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604175112/http://www.airccse.org/journal/ijcseit/papers/2512ijcseit05.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/50/f3/50f3ddd95f198fe3b05e672052f2138ca33ff9b5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5121/ijcseit.2012.2505"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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