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The Effect of Recommendations on Network Structure

Jessica Su, Aneesh Sharma, Sharad Goel
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">Proceedings of the 25th International Conference on World Wide Web - WWW &#39;16</a> </i> &nbsp;
Here we examine the aggregate effects of such recommendations on network structure, focusing on whether these recommendations increase the popularity of niche users or, conversely, those who are already  ...  This mismatch between the recommender and the natural network dynamics thus alters the structural evolution of the network.  ...  CHANGES IN NETWORK STRUCTURE We have thus far investigated the effect of the recommender on individuals, describing the disproportionate gains experienced by popular users.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2872427.2883040">doi:10.1145/2872427.2883040</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/SuSG16.html">dblp:conf/www/SuSG16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5dp6tsjnzffzfmewra5t2ddn3a">fatcat:5dp6tsjnzffzfmewra5t2ddn3a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160304013224/https://5harad.com/papers/wtf.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/d5/2c/d52c1b9b576a6d4e5d777bfc5e0ae9d50db40b85.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2872427.2883040"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

The network effects of recommending social connections

Elizabeth M. Daly, Werner Geyer, David R. Millen
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxvef3lblbcxbliuugiju5sify" style="color: black;">Proceedings of the fourth ACM conference on Recommender systems - RecSys &#39;10</a> </i> &nbsp;
This paper evaluates the effects of four recommendation algorithms on the network as a whole and the social structure.  ...  We demonstrate that depending on the basis of the recommendation algorithm the effects on the network vary greatly and their potential impact should be understood.  ...  Recommender systems can be used to recommend social contacts. Little work has been done to measure the effects of these recommendations on the network as a whole and the social structure.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1864708.1864772">doi:10.1145/1864708.1864772</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/recsys/DalyGM10.html">dblp:conf/recsys/DalyGM10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/czwbsbilzzbptk3wedvyfjlecy">fatcat:czwbsbilzzbptk3wedvyfjlecy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130625101508/http://researcher.watson.ibm.com/researcher/files/ie-ELIZABETH_DALY/edaly_recsys2010.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/e6/ee/e6ee031bb91cfecfe444b97c9cdad39e8129bcdb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1864708.1864772"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

An Experimental Study of Structural Diversity in Social Networks [article]

Jessica Su, Krishna Kamath, Aneesh Sharma, Johan Ugander, Sharad Goel
<span title="2019-09-10">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We then exogenously vary structural diversity by altering the set of network recommendations new users see when joining the platform; we confirm that this design induces the desired changes to network  ...  We investigate the role of structural diversity on retention by conducting a large-scale randomized controlled study on the Twitter platform.  ...  We also thank the Recommendations and Notifications team at Twitter, including Bruce Deng, Jerry Jiang, Jinsong Lin, and Zhijun Yin, for their help with implementing the experiment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.03543v2">arXiv:1909.03543v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5jl5ehoy2nfevlgkaoyjnimoiy">fatcat:5jl5ehoy2nfevlgkaoyjnimoiy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929002258/https://arxiv.org/pdf/1909.03543v2.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/2e/1a/2e1adfbec31643a494b8b1bb4aeb81c37b1503b7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1909.03543v2" 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>

Research on the Novel E-Commerce Recommendation Framework based on Modified NN Model and the Collaborative Analysis Paradigm

Ning Wang, Mingming Chen, Qiaoling Zhang, Liejun Yang
<span title="2017-01-31">2017</span> <i title="Science and Engineering Research Support Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cjfkr6nrjbcjrhn6a6mvtme4ay" style="color: black;">International Journal of u- and e- Service, Science and Technology</a> </i> &nbsp;
Recommended based on content filter is the similarity between user interest and The feedforward neural network achieves structural optimization by minimizing the number of connection weights.  ...  The structure optimization of the feedforward neural network includes the following points.  ...  The Revised Neural Network Structure The structural complexity of the canonical fuzzy neural network mainly depends on the number of fuzzy rules, the number of redundant fuzzy rules makes the network redundant  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijunesst.2017.10.1.01">doi:10.14257/ijunesst.2017.10.1.01</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4y2xtyvu2vfgnjg55ulxflmc34">fatcat:4y2xtyvu2vfgnjg55ulxflmc34</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180603125833/http://www.sersc.org/journals/IJUNESST/vol10_no1/1.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/78/3d/783d3735a56ff274c5488031f0cd1437672f9f9c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14257/ijunesst.2017.10.1.01"> <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>

Utilizing Structural Network Positions to Diversify People Recommendations on Twitter

Ekaterina Olshannikova, Erjon Skenderi, Thomas Olsson, Sami Koivunen, Jukka Huhtamäki, Christos Troussas
<span title="2022-01-30">2022</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aeevvunffnfubmsglzxv2lycny" style="color: black;">Advances in Human-Computer Interaction</a> </i> &nbsp;
Yet, perceived familiarity had a strong effect on perceptions of relevance and willingness to follow-up on the recommendations.  ...  Consequently, this article proposes a social diversification strategy for recommending potentially relevant people based on three structural positions in egocentric networks: dormant ties, mentions of  ...  Each set consists of four recommendations: one from each of the studied structural network positions and the baseline group (Rest).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2022/6584394">doi:10.1155/2022/6584394</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zvldz2ylzncozc4mpt5cctixum">fatcat:zvldz2ylzncozc4mpt5cctixum</a> </span>
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Evolution of Ego-networks in Social Media with Link Recommendations

Luca Maria Aiello, Nicola Barbieri
<span title="">2017</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/puezkhxc3rggrgb456avsvxi34" style="color: black;">Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM &#39;17</a> </i> &nbsp;
Ego-networks are fundamental structures in social graphs, yet the process of their evolution is still widely unexplored.  ...  Last, with two link prediction experiments, we show how insights from our analysis can be used to improve the effectiveness of social recommender systems.  ...  The addition of recommended nodes has a different effect on the ego-network expansion, compared to spontaneous ones. New recommended contacts tend to be closer to existing ego-network members.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3018661.3018733">doi:10.1145/3018661.3018733</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsdm/AielloB17.html">dblp:conf/wsdm/AielloB17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p5rml756fzg45no5ew2na7vayy">fatcat:p5rml756fzg45no5ew2na7vayy</a> </span>
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Social Recommender Systems Based on Coupling Network Structure Analysis [article]

Xiao Hu, Chuibo Chen, Xiaolong Chen, Zi-Ke Zhang
<span title="2012-04-09">2012</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
show light in deeply understanding the structure and function of the social and behavioral networks.  ...  Comparatively, the social impact, especially the network structure based properties, is relatively lack of study.  ...  Acknowledgments This work was partially supported by Natural Science Foundation of China (Grant Nos. 11105024, 61103109, 60973069). REFERENCES  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1204.1949v1">arXiv:1204.1949v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bdbipnptd5chresn6dmqgic2jm">fatcat:bdbipnptd5chresn6dmqgic2jm</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/arxiv-1204.1949/1204.1949.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> File Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1204.1949v1" 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>

Recommendation Retrieval in Reputation Assessment for Peer-to-Peer Systems

Farag Azzedin, Ahmad Ridha
<span title="">2009</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/uy5mv2ncw5eahkdx47hkrglxmm" style="color: black;">Electronical Notes in Theoretical Computer Science</a> </i> &nbsp;
The simulation results show that overlay network construction significantly contributes to the performance of recommendation retrieval in terms of effectiveness and cost.  ...  Recommendation-based reputation assessment in peer-to-peer systems relies on recommendations in predicting the reputation of peers.  ...  On the other hand, the average number of sent messages is constant for structured overlay networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.entcs.2009.07.035">doi:10.1016/j.entcs.2009.07.035</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wxj4qsuhnbefzjwrd3axzwmroq">fatcat:wxj4qsuhnbefzjwrd3axzwmroq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190418192137/https://core.ac.uk/download/pdf/82431126.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/ed/44/ed441d27519b8ffb4d6ed6fa00ab7e887abd28a7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.entcs.2009.07.035"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Behavior patterns of online users and the effect on information filtering

Cheng-Jun Zhang, An Zeng
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dlb6tmf5cve7dphk62d6tkyuvy" style="color: black;">Physica A: Statistical Mechanics and its Applications</a> </i> &nbsp;
In this paper, we focus on investigating the patterns of online users' behavior and the effect on recommendation process.  ...  Our results shows that the performance of personalized recommendation methods is strongly related to the real network structure.  ...  It is not only helpful for understanding the effect of network structure on recommendation process, but also meaningful in improving the robustness of the existing recommender systems.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.physa.2011.09.038">doi:10.1016/j.physa.2011.09.038</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ufgklgsyp5fu3hk6zsapetsi6i">fatcat:ufgklgsyp5fu3hk6zsapetsi6i</a> </span>
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Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network

Zhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui, Yong Li
<span title="2020-10-19">2020</span> <i title="ACM"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6g37zvjwwrhv3dizi6ffue642m" style="color: black;">Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management</a> </i> &nbsp;
Extensive experiments on three real-world datasets suggest the effectiveness of GEMS, which consistently outperforms all baseline methods in HIN recommendation.  ...  On the other hand, the number of meta-structures grows exponentially with its size and the number of node types, which prohibits brute-force search.  ...  Effectiveness of Meta-Structure Predictor To further evaluate the effectiveness of the proposed meta-structure predictor, we train meta-structure predictors on the historical performance of each individual  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3340531.3412015">doi:10.1145/3340531.3412015</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cikm/HanXSSMHL20.html">dblp:conf/cikm/HanXSSMHL20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/25nh7nhjyrcyta5ufu5im2d57m">fatcat:25nh7nhjyrcyta5ufu5im2d57m</a> </span>
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Automatic Hashtag Recommendation in Social Networking and Microblogging Platforms Using a Knowledge-Intensive Content-based Approach

<span title="">2019</span> <i title="International Digital Organization for Scientific Information (IDOSI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pidsujh6urhhpav7zubed23epq" style="color: black;">International Journal of Engineering</a> </i> &nbsp;
At the end, #tags are recommended to users based on #tags in contextually similar messages. The system is evaluated on Tweets2011 dataset.  ...  Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages.  ...  Evaluating the Enrichment Module and Its Effect on the Overall Performance of the Proposed Method and Similar Methods In this section, we are trying to determine the overall effect of this module on the  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5829/ije.2019.32.08b.06">doi:10.5829/ije.2019.32.08b.06</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o2x7evr3kzftlfrd44ayk2o224">fatcat:o2x7evr3kzftlfrd44ayk2o224</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200306212429/http://www.ije.ir/article_89994_65851a3cb68cfc1e6e0519244a668820.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/b7/ea/b7eaf1db7d9a80021d02567881985a36b8cc7ed3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5829/ije.2019.32.08b.06"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

The Improvement of Personalized Recommendation System Based on Sparse Data of Financial Products

Xu Yong, Pi Ying-xin, Xu Jian-bin
<span title="2018-08-23">2018</span> <i title="Nextgen Research Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pob6yxbx6nhffkkcuboznjv7tq" style="color: black;">World Journal of Research and Review</a> </i> &nbsp;
and the Q of community discovery to build a new model of community discovery and divide the structure of social network.  ...  Based on this background, the research integrates the ideology of concept hierarchy into the traditional personalized recommendation algorithm, and proposes an improved trick, which is punishing user similarity  ...  The average value of each data is taken as the evaluation index for the recommendation effect of the social network. C.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31871/wjrr.7.2.18">doi:10.31871/wjrr.7.2.18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2nvwg55kgjafrh7flols25remm">fatcat:2nvwg55kgjafrh7flols25remm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208033627/https://www.wjrr.org/download_data/WJRR0702018.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/c7/6d/c76dd4c0873090e519d685825fce15d8d1907a1d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.31871/wjrr.7.2.18"> <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>

Navigation support for learners in informal learning environments

Hendrik Drachsler, Hans Hummel, Rob Koper
<span title="">2008</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxvef3lblbcxbliuugiju5sify" style="color: black;">Proceedings of the 2008 ACM conference on Recommender systems - RecSys &#39;08</a> </i> &nbsp;
A better alignment of the characteristics of learners and learning activities is expected to increase both effectiveness and efficiency of learning progress of the learners.  ...  As a theoretical framework for informal learning environments we use the concept of Learning Networks [1].  ...  This has also an effect on Learning Networks, because most of the informal learning activities are based on contributions of learners and stored in the above mentioned Web 2.0 services.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1454008.1454058">doi:10.1145/1454008.1454058</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/recsys/DrachslerHK08.html">dblp:conf/recsys/DrachslerHK08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mqw46njhfjfnvnhpidw4w4ncwq">fatcat:mqw46njhfjfnvnhpidw4w4ncwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809160200/http://dspace.ou.nl/bitstream/1820/1382/8/drachsler_acm_recommender_systems_2008_pre-print.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/c8/f1/c8f1df6f3137b9b8624b8147875efc3ae5173e9f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1454008.1454058"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Research on Several Recommendation Algorithms

Hua Quan ping, Xiang Ming
<span title="">2012</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5i4djr4tgnbobnjegejzpw7nny" style="color: black;">Procedia Engineering</a> </i> &nbsp;
Then, existing problems on personalized recommendation were analyzed. Future research challenges facing personalized recommendation system were presented in the end.  ...  Advantages and disadvantages of these mentioned recommendations technology were provided. Hot topics in personalized recommendation research were emphasized.  ...  Therefore it is hard to start the recommendation algorithm based on network structure.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.proeng.2012.01.326">doi:10.1016/j.proeng.2012.01.326</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mtsugt3xfnezdanae4kziugeke">fatcat:mtsugt3xfnezdanae4kziugeke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222050633/https://core.ac.uk/download/pdf/82348687.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/0e/03/0e0370c8ab87b427486be3bc4d9b24e2882ece6e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.proeng.2012.01.326"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Heterogeneous Information Network Embedding for Mention Recommendation

Feng Yi, Bo Jiang, Jianjun Wu
<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;
Mention recommendation is the task of recommending the right candidate users in a message. Many works have been conducted on the problem of whom to mention.  ...  Through extensive experiments on real-world mention collection, we demonstrate that our proposed model outperforms the previous state-of-the-art methods in term of recommendation task.  ...  (3) We also observe that the best performance of mention recommendation is obtained in term of F-Score when recommending the top one user. 4) EFFECT OF MENTION COUNT E.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2994313">doi:10.1109/access.2020.2994313</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kor7j3umkndrxojutvklm5asqm">fatcat:kor7j3umkndrxojutvklm5asqm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210428133734/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09093049.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/fa/6b/fa6b46272161c9533d63dbf36c935c58b52496f5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.2994313"> <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>
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