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A Probabilistic Reformulation of Memory-Based Collaborative Filtering

Rocío Cañamares, Pablo Castells
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
We develop a probabilistic formulation giving rise to a formal version of heuristic nearest-neighbor (kNN) collaborative filtering.  ...  Moreover, a natural explanation arises for the bias of kNN towards recommending popular items.  ...  The nearest-neighbor collaborative filtering strategy (also known as memory-based, or heuristic) is one among hundreds of solutions to the recommendation problem.  ... 
doi:10.1145/3077136.3080836 dblp:conf/sigir/CanamaresC17 fatcat:nwnnpdg6cray3nyepgdjvfujja

WebKDD 2006

Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij Masand
2006 SIGKDD Explorations  
Keywords Web mining, Web analytics, personalization, recommender systems, collaborative filtering, spam detection, blog mining, search engine query log mining, peer to peer personalization SUBMISSIONS  ...  We reflect on the results of the workshop, as captured in presentations and plenary discussions.  ...  The fourth paper, "Recommendation Based on Influence Sets" by Jian Chen and Jian Yin, addresses the sensitivity to sparsity suffered by traditional item-based collaborative filtering (CF) algorithms, by  ... 
doi:10.1145/1233321.1233334 fatcat:yb55g4y3zrg5rdg3443vwjzdiu

Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation

P. L. Houtekamer, Fuqing Zhang
2016 Monthly Weather Review  
This motivates a focus on approaches for maintaining balance during the EnKF update.  ...  This paper reviews the development of the ensemble Kalman filter (EnKF) for atmospheric data assimilation. Particular attention is devoted to recent advances and current challenges.  ...  This paper started as a summary of the material presented and discussed at the Sixth EnKF Workshop that was held 18-22 May 2014 near Buffalo, New York, and we want to thank all workshop participants.  ... 
doi:10.1175/mwr-d-15-0440.1 fatcat:zlpnjqqz5bfjdhrghmi7gpqtau

Design of large polyphase filters in the Quadratic Residue Number System

Gian Carlo Cardarilli, Alberto Nannarelli, Yann Oster, Massimo Petricca, Marco Re
2010 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers  
The first approach is based on the Pierra's idea of reformulating the problem of finding a common point of multiple closed convex sets as a problem of finding a common point of two closed convex sets in  ...  TA8b3-9 Effect of order on MCM implementations of FiR Filters Abhijit Patil, Linda DeBrunner, Florida State University Field Programmable Gate Arrays (FPGAs) are becoming a popular choice for digital filter  ... 
doi:10.1109/acssc.2010.5757589 fatcat:ccxnu5owr5fyrcjcqukumerueq

Reciprocal Recommender Systems: Analysis of State-of-Art Literature, Challenges and Opportunities towards Social Recommendation [article]

Ivan Palomares, Carlos Porcel, Luiz Pizzato, Ido Guy, Enrique Herrera-Viedma
2021 arXiv   pre-print
Recommender systems arose as a data-driven personalized decision support tool to assist users in these situations: they are able to process user-related data, filtering and recommending items based on  ...  This paper presents a snapshot-style analysis of the extant literature that summarizes the state-of-the-art RRS research to date, focusing on the algorithms, fusion processes and fundamental characteristics  ...  Acknowledgement We appreciate the financial support of Spanish State Research Agency -Ministry of Science and Innovation Grant PID2019-103880RB-I00.  ... 
arXiv:2007.16120v3 fatcat:ly6d45grijbpjbk7ubm4hj3yyq

29th International Conference on Data Engineering [book of abstracts]

2013 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW)  
We develop Pattern-based Filter Network (PFNet), a novel probabilistic graphical model, as our solution.  ...  The users' past feedback on this campaign can be leveraged to construct such a list using collaborative filtering techniques such as matrix factorization.  ...  These volunteers welcome participants, give directions, help in the sessions and on the registration desk, and generally make sure the conference is running smoothly.  ... 
doi:10.1109/icdew.2013.6547409 fatcat:wadzpuh3b5htli4mgb4jreoika

On-Device Machine Learning: An Algorithms and Learning Theory Perspective [article]

Sauptik Dhar, Junyao Guo, Jiayi Liu, Samarth Tripathi, Unmesh Kurup, Mohak Shah
2020 arXiv   pre-print
This survey finds a middle ground by reformulating the problem of on-device learning as resource constrained learning where the resources are compute and memory.  ...  This reformulation allows tools, techniques, and algorithms from a wide variety of research areas to be compared equitably.  ...  Based on the reformulation of on-device learning as resource constrained learning, the survey found that there are a number of areas where more research and development is needed.  ... 
arXiv:1911.00623v2 fatcat:fokmxmy3x5g7ne7yggm4zpyqta

Scaling data mining in massively parallel dataflow systems

Sebastian Schelter
2014 Proceedings of the 2014 SIGMOD PhD symposium on - SIGMOD'14 PhD Symposium  
Collaborative Filtering with MapReduce In the following, we present our work on scaling out the two most popular families of collaborative filtering algorithms (c.f., Section 2.4.1), namely similarity-based  ...  reformulate the two most prominent collaborative filtering algorithms for recommendation mining to scale on MapReduce.  ... 
doi:10.1145/2602622.2602631 dblp:conf/sigmod/Schelter14 fatcat:kejcowbahrfl7mguzivnolwtoq

A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks [article]

Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
2021 arXiv   pre-print
In many such instances, machine-based model construction may benefit significantly from being provided with human-knowledge of the domain encoded in a sufficiently precise form.  ...  The inclusion of domain-knowledge is of special interest not just to constructing scientific assistants, but also, many other areas that involve understanding data using human-machine collaboration.  ...  explicit mechanism for ing the inputs by designing a filtering module based on the the inclusion of domain-knowledge through the use of pri- domain-specific rules, constraining the output by enforcing  ... 
arXiv:2107.10295v4 fatcat:ifkgq3cptbapfamr3dld57uruu

Context & Semantics in News & Web Search

Daan Odijk
2016 SIGIR Forum  
from six episodes of a live daily talk show.  ...  Each video segment has a unique ID and three associated files (the first two are provided, the last one needs to be reconstructed):  ...  A single filter functions in a similar way as facet filters.  ... 
doi:10.1145/2964797.2964816 fatcat:zmt2clavxrdi5izyo73z6kfg3q

Coordinating Filtering Strategies in Cooperative Agent Communities [article]

Dragan Milosevic, Technische Universität Berlin, Technische Universität Berlin, Sahin Albayrak
2006
A coordination of multiple strategies ca [...]  ...  Besides, they exhibit great difficulties to formally represent their preferences, and thus many manually created filtering requests have weak chances to initiate a delivery of needed results.  ...  content-based and collaborative filtering.  ... 
doi:10.14279/depositonce-1373 fatcat:f6npj5vxo5fbpocymqnrjong7y

Implementation of Fog computing for reliable E-health applications

Razvan Craciunescu, Albena Mihovska, Mihail Mihaylov, Sofoklis Kyriazakos, Ramjee Prasad, Simona Halunga
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
evolution equations) to the action of a multiplicative filter in the nonlinear frequency domain.  ...  In this paper we follow-up on recent massive MTC concepts combining advanced MAC protocols with Compressed Sensing (CS) based multiuser detection.  ...  In this paper, we demonstrate the implication of these results on community detection when a cue vertex is provided, indicating one of the vertices in the community of interest.  ... 
doi:10.1109/acssc.2015.7421170 dblp:conf/acssc/CraciunescuMMKP15 fatcat:qm6mki5z6bcvrfimkmqjyrxaxm

On the use of language models and topic models in the web : new algorithms for filtering, classification, ranking, and recommendation [article]

Ralf Krestel, University, My
2019
Collaborative Filtering A popular approach to tag recommendation has been collaborative filtering [79] , taking into account similarities between users, resources, and tags.  ...  We rank based on a probabilistic approach.  ... 
doi:10.15488/7890 fatcat:ivfnrub565hevgbqtsr2yli4wu

Learning from demonstration using products of experts: applications to manipulation and task prioritization [article]

Emmanuel Pignat, João Silvério, Sylvain Calinon
2020 arXiv   pre-print
We show that the fusion of models in different task spaces can be expressed as a product of experts (PoE), where the probabilities of the models are multiplied and renormalized so that it becomes a proper  ...  While the configuration of a manipulator is defined by its joint angles, poses are often best explained within several task spaces.  ...  Acknowledgements The research leading to these results has received funding from the European Commission's Horizon 2020 Programme through the MEMMO Project (Memory of Motion, http://www.memmoproject.eu  ... 
arXiv:2010.03505v1 fatcat:a2o7k7cqfzhmlnxr42y7qmmj4q

Ping-pong beam training for reciprocal channels with delay spread

Elisabeth de Carvalho, Jorgen Bach Andersen
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
The idea is based on estimating the norm of available samples at nodes.  ...  evolution equations) to the action of a multiplicative filter in the nonlinear frequency domain.  ...  In this paper, we demonstrate the implication of these results on community detection when a cue vertex is provided, indicating one of the vertices in the community of interest.  ... 
doi:10.1109/acssc.2015.7421451 dblp:conf/acssc/CarvalhoA15 fatcat:mqokuvnh3zg45licnfbgxyvxfu
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