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Product recommendation with temporal dynamics

Wenxing Hong, Lei Li, Tao Li
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ekjwtd7zwfeipf5aknu4733lzy" style="color: black;">Expert systems with applications</a> </i> &nbsp;
by the users who are similar to the target user (collaborative filtering).  ...  Traditional recommendation algorithms produce recommendation lists similar to items that the target user has accessed before (content filtering), or compute recommendation by analyzing the items purchased  ...  Given a target user, we first identify the ''collaborative'' user set that have similar purchasing behaviors to the target user, and then investigate multiple collaborative filtering algorithms to finalize  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.eswa.2012.04.082">doi:10.1016/j.eswa.2012.04.082</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vuqlvvwn3rh5hinn77b5xfbooi">fatcat:vuqlvvwn3rh5hinn77b5xfbooi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705094844/http://users.cs.fiu.edu/%7Etaoli/pub/eswa-product-recommendation.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/90/7f/907f4ee1715edd5dda9d24f3dd96b3fcb4eb6493.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.eswa.2012.04.082"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Hybrid Recommender System Based on Personal Behavior Mining [article]

Zhiyuan Fang, Lingqi Zhang, Kun Chen
<span title="2016-07-10">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Classical personalized recommender algorithm includes item-based collaborative filtering method applied in Amazon, matrix factorization based collaborative filtering algorithm from Netflix, etc.  ...  We use desensitized mobile transaction record provided by T-mall, Alibaba to build a hybrid dynamic recommender system.  ...  Traditional CF method include memory based and model based Collaborative Filtering algorithm.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1607.02754v1">arXiv:1607.02754v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4jurfvmnkzfcvi7aitai2xq5fq">fatcat:4jurfvmnkzfcvi7aitai2xq5fq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191021221802/https://arxiv.org/pdf/1607.02754v1.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/9f/41/9f41e5c5a1066463000a9dc48ce0d5f4ce3ef1fd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1607.02754v1" 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>

METHOD OF FORMING RECOMMENDATIONS USING TEMPORAL CONSTRAINTS IN A SITUATION OF CYCLIC COLD START OF THE RECOMMENDER SYSTEM

Serhii Chalyi, Volodymyr Leshchynskyi, Irina Leshchynska
<span title="2019-07-31">2019</span> <i title="OU Scientific Route"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j2y665glv5gxve2ca5aa5fswly" style="color: black;">EUREKA Physics and Engineering</a> </i> &nbsp;
The method includes the phases of the formation of temporal constraints, the addition of source data using these constraints, as well as the formation of recommendations using the collaborative filtering  ...  Temporal constraints are formed on the basis of the selection of repetitive pairs of actions for choosing the same objects at a given level of time granulation.  ...  in their interests, taking into account temporal limitations for known users.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21303/2461-4262.2019.00952">doi:10.21303/2461-4262.2019.00952</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m54cxa67mbasjlmc4fo2qx453a">fatcat:m54cxa67mbasjlmc4fo2qx453a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200210060200/http://eu-jr.eu/engineering/article/download/952/934" 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/3c/8b/3c8b7f578f0b3d9bfdc12a51f6c93a5ba0bd1d10.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21303/2461-4262.2019.00952"> <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>

Thresholding for Top-k Recommendation with Temporal Dynamics [article]

Lei Tang
<span title="2015-11-09">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We encourage other practitioners to adopt it as a standard component in recommender systems where temporal dynamics is a norm.  ...  This work focuses on top-k recommendation in domains where underlying data distribution shifts overtime.  ...  On the other hand, Xiong et al. [28] formulate temporal collaborative filtering as a tensor factorization by treating time as one additional dimension. Wang et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1506.02190v2">arXiv:1506.02190v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5fcbe4c3zvef5jesgjzus7shfa">fatcat:5fcbe4c3zvef5jesgjzus7shfa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200915151215/https://arxiv.org/pdf/1506.02190v2.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/3c/59/3c59e73d32c7820661d52cd44ff5221b0e3683f8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1506.02190v2" 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>

"You Might Also Like:" Privacy Risks of Collaborative Filtering

Joseph A. Calandrino, Ann Kilzer, Arvind Narayanan, Edward W. Felten, Vitaly Shmatikov
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/inod5dqjxfdj3bnjykkklcg7d4" style="color: black;">2011 IEEE Symposium on Security and Privacy</a> </i> &nbsp;
Modern recommenders are based on collaborative filtering: they use patterns learned from users' behavior to make recommendations, usually in the form of related-items lists.  ...  In this paper, we develop algorithms which take a moderate amount of auxiliary information about a customer and infer this customer's transactions from temporal changes in the public outputs of a recommender  ...  ACKNOWLEDGEMENTS We thank Ilya Mironov for useful discussions and Ian Davey, Benjamin Delaware, Ari Feldman, Josh Kroll, Joshua Leners, and Bill Zeller for helpful comments on earlier drafts of this paper  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/sp.2011.40">doi:10.1109/sp.2011.40</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sp/CalandrinoKNFS11.html">dblp:conf/sp/CalandrinoKNFS11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fbx547fqsbazzoyte5flmkiwie">fatcat:fbx547fqsbazzoyte5flmkiwie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808063029/http://www.ieee-security.org/TC/SP2011/PAPERS/2011/paper015.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/f3/fd/f3fd7bb2bea8f350c92498748b6894ff5ceb0246.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/sp.2011.40"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Contextual trace-based video recommendations

Raafat Zarka, Amélie Cordier, Elöd Egyed-Zsigmond, Alain Mille
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 21st international conference companion on World Wide Web - WWW &#39;12 Companion</a> </i> &nbsp;
In this paper, we propose an approach for contextual video recommendations based on a Trace-Based Reasoning approach.  ...  Collaborative filtering requires a large amount of information on a user in order to make accurate recommendations.  ...  We are now working on the implementation part of the recommendations. RELATED WORK Recommender systems have different approaches like collaborative filtering and content-based filtering.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2187980.2188196">doi:10.1145/2187980.2188196</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/ZarkaCEM12.html">dblp:conf/www/ZarkaCEM12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fqkcadolsngzvcmvll22iqzxfi">fatcat:fqkcadolsngzvcmvll22iqzxfi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809054640/http://liris.cnrs.fr/Documents/Liris-5518.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/f1/20f143ec11f0a080e753355426d5688d7210b40a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2187980.2188196"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

TencentRec

Yanxiang Huang, Bin Cui, Wenyu Zhang, Jie Jiang, Ying Xu
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD &#39;15</a> </i> &nbsp;
To deal with various application specific demands, we have implemented several classic practical recommendation algorithms in TencentRec, including the item-based collaborative filtering, the content based  ...  , and the demographic based algorithms.  ...  A Practical Item-based Collaborative Filtering Collaborative Filtering (CF) is a popular recommendation algorithm used in industrial systems, including the user-based CF methods and the item-based CF methods  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2723372.2742785">doi:10.1145/2723372.2742785</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/HuangCZJX15.html">dblp:conf/sigmod/HuangCZJX15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hg4pheywwbfdxn7vxuv5w6rhry">fatcat:hg4pheywwbfdxn7vxuv5w6rhry</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150824055531/http://net.pku.edu.cn:80/~cuibin/Papers/2015SIGMOD-tencentRec.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/90/09/90098ca94ed9969170e02424f8bb9a029e3e2490.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2723372.2742785"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities

Areej Bin Suhaim, Jawad Berri
<span title="">2021</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;
The paper presents the detail of the review study, provides a synthesis of the results, proposes an evaluation based on measurable evaluation tools developed in this study, and advocates future research  ...  In order to have a clear vision of the research potential in the field, we considered research articles published between 2015 and 2020 and used a research portal giving access to major scientific research  ...  The model employs a user-based k-nearest neighbor collaborative filtering technique on the inferred user interest distributions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3072165">doi:10.1109/access.2021.3072165</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/i3igbxd44jhrzcyvynevpidcwq">fatcat:i3igbxd44jhrzcyvynevpidcwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717192854/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09399450.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/d0/a4/d0a4ac2aa34504f2c082ed676ca7f3d2130423d4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3072165"> <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>

ReRec: A Divide-and-Conquer Approach to Recommendation Based on Repeat Purchase Behaviors of Users in Community E-Commerce

Jun Wu, Yuanyuan Li, Li Shi, Liping Yang, Xiaxia Niu, Wen Zhang
<span title="2022-01-10">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ye33srllvnanjouxn4tmrfgjsq" style="color: black;">Mathematics</a> </i> &nbsp;
Specifically, the proposed ReRec approach comprises two components: the first is to model the repeat purchase behaviors of different types of users and the second is to recommend items to users based on  ...  The extensive experiments are conducted on a real dataset collected from a community e-commerce platform, and the performance of our model has improved at least about 13.6% compared with the state-of-the-art  ...  More details about user-based collaborative filtering and item-based collaborative filtering approaches can be found in the available literature [5] [6] [7] 12, 15] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/math10020208">doi:10.3390/math10020208</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cxbd22uugfawpkdcpdf4muichq">fatcat:cxbd22uugfawpkdcpdf4muichq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220112061819/https://mdpi-res.com/d_attachment/mathematics/mathematics-10-00208/article_deploy/mathematics-10-00208-v2.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/19/33/193385f0d3813bf92b5bb589e0b2c4c2f121c02a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/math10020208"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Conceptual Modeling of Context based Recommendation System

Arati R., Emmanuel M.
<span title="2018-01-17">2018</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;
Recommendation systems suggest the personalized list of items such as products, people and activities to reduce the search in a large amount of available information, by filtering the relevant information  ...  This model can be used to implement the design of a context based recommendation system in many domains of applications. 46 type of actions.  ...  The recommendation algorithm can be any existing collaborative algorithm if pre filtering method is used.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2018916246">doi:10.5120/ijca2018916246</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dncl7eo6sjbcpnohzgi2nzc6re">fatcat:dncl7eo6sjbcpnohzgi2nzc6re</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200710105930/https://www.ijcaonline.org/archives/volume180/number12/deshpande-2018-ijca-916246.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/6d/56/6d56809174a57e059a8d4c54a0386976411bfaf9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2018916246"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Ant Collaborative Filtering Addressing Sparsity and Temporal Effects

Xiaofeng Liao, Hu Wu, Yongji Wang
<span title="">2020</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;
To recommend using the sparse and evolving preference data, this paper proposes a novel collaborative filtering algorithm, named the Ant Collaborative Filtering (ACF).  ...  However, after purchasing, she/he may be no longer interested in the recommendations on buying a new digital camera.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2973931">doi:10.1109/access.2020.2973931</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mdko2d7whjdzxe3d24hfnxnxo4">fatcat:mdko2d7whjdzxe3d24hfnxnxo4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200216194450/https://ieeexplore.ieee.org/ielx7/6287639/6514899/08999524.pdf?tp=&amp;arnumber=8999524&amp;isnumber=6514899&amp;ref=" 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/10.1109/access.2020.2973931"> <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>

Life-stage Prediction for Product Recommendation in E-commerce

Peng Jiang, Yadong Zhu, Yi Zhang, Quan Yuan
<span title="">2015</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqqihtxlu5bvfaqxjyvqcob35a" style="color: black;">Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD &#39;15</a> </i> &nbsp;
We propose a new Maximum Entropy Semi Markov Model to segment and label consumer life stage based on the observed purchasing data over time.  ...  Although marketing researchers and sociologists have recognized the large impact of life stage on consumer's purchasing behaviors, existing recommender systems have not taken this impact into consideration  ...  There are two major recommendation approaches: content-based filtering and collaborative filtering.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2783258.2788562">doi:10.1145/2783258.2788562</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/kdd/JiangZZY15.html">dblp:conf/kdd/JiangZZY15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h4hy6mp6czgunga7foypinir7u">fatcat:h4hy6mp6czgunga7foypinir7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170414165341/http://yadongzhu.com/papers/Life-stage%20Prediction.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/81/f3/81f3fcca54cb9e26d3b190cfe67e7a32191f7181.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2783258.2788562"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Incorporating frequency, recency and profit in sequential pattern based recommender systems

Cheng-Lung Huang, Mu-Chen Chen, Wen-Chen Huang, Sheng-Huang Huang
<span title="2013-09-26">2013</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lm7wouyrqzbgvenkjxkrtwootu" style="color: black;">Intelligent Data Analysis</a> </i> &nbsp;
Based on the discovered sequential patterns, this study develops a collaborative recommender system to improve recommendation accuracy for customers and the profit of recommendation from the seller's perspective  ...  Customers usually change their purchase interests in the short product life cycle of the e-commerce environment.  ...  This study uses the k-means algorithm to cluster customers based on the customer profiles.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/ida-130611">doi:10.3233/ida-130611</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c3b7x5ptqfdnrch33ondemf67u">fatcat:c3b7x5ptqfdnrch33ondemf67u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170815055846/https://ir.nctu.edu.tw/bitstream/11536/22809/1/000324994600009.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/25/87/25878374ae57267018ef0f2e18f5635c60890f2f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/ida-130611"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

CARS-AD Project: Context-Aware Recommender System for Authentication Decision in Pervasive and Mobile Environments [chapter]

Joao Carlos Damasceno Lima, Cristiano Cortez da Rocha, Iara Augustin, Mario Antonio Ribeiro Dantas
<span title="2012-03-30">2012</span> <i title="InTech"> Advances and Applications in Mobile Computing </i> &nbsp;
We also will discuss the processes of (i) content-based filtering, (ii) collaborative filtering and (iii) hybrid filtering.  ...  allows the user of three filtering approaches: i) content based filtering, ii) collaborative filtering and iii) hybrid filtering.  ...  In the mobile software life cycle section, the chapter on human computer interaction discusses mobile device handset design strategies, following the chapters on mobile application testing strategies.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/37125">doi:10.5772/37125</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fwwl5fimh5h75l4laivp466n3y">fatcat:fwwl5fimh5h75l4laivp466n3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501031414/https://cdn.intechopen.com/pdfs/35021.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/d5/03/d5038890f6ce517594b16232ea18ab2f05b54c5e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/37125"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Personalized news recommendation via implicit social experts

Chen Lin, Runquan Xie, Xinjun Guan, Lei Li, Tao Li
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ozlq63ehnjeqxf6cuxxn27cqra" style="color: black;">Information Sciences</a> </i> &nbsp;
A matrix manipulation method is presented, the "real" purchase is assigned a high rating, while "missing" usage probability is predicted based on user-entity preferences. (2) Additional empirical study  ...  For new users without any (or enough) ratings and collaborations, stories are chosen based on the most influential users' reading choices on a virtual social network constructed from follow adoption relations  ...  For example, a predictive bilinear regression model is developed in [9] based on all features in user and content profiles, extracted by content-based and collaborative filtering.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ins.2013.08.034">doi:10.1016/j.ins.2013.08.034</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lrx7gvofavhotiohm2xfr4rw2i">fatcat:lrx7gvofavhotiohm2xfr4rw2i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808234908/http://users.cis.fiu.edu/~taoli/pub/1-s2.0-S002002551300594X-main.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/a6/a9/a6a9c53a3d3654cd9150d9cf05f561e6e0ce2ef5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ins.2013.08.034"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>
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