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Establishing value mappings using statistical models and user feedback

Jaewoo Kang, Tae Sik Han, Dongwon Lee, Prasenjit Mitra
2005 Proceedings of the 14th ACM international conference on Information and knowledge management - CIKM '05  
It then finds the matching values by computing the distances between the models while refining the models using user feedback through iterations.  ...  Our experimental results suggest that our approach successfully establishes value mappings even in the presence of opaque data values and thus can be a useful addition to the existing data integration  ...  Our algorithm uses the statistical dependency model among values (e.g., value co-occurrence frequency or entropy) as the basis for establishing value mappings.  ... 
doi:10.1145/1099554.1099569 dblp:conf/cikm/KangHLM05 fatcat:vlfao5n3n5e6hgak532idtuk4e

Multiuser Scheduling in a Markov-Modeled Downlink Using Randomly Delayed ARQ Feedback

Sugumar Murugesan, Philip Schniter, Ness B. Shroff
2012 IEEE Transactions on Information Theory  
In our setting, the channel between the base station and each user is modeled by a two-state Markov chain and the scheduled user sends back an ARQ feedback signal that arrives at the scheduler with a random  ...  Establishing an equivalence between the two-user system and a genie-aided system, we obtain a simple closed form expression for the sum capacity of the Markov-modeled downlink.  ...  Note that since in each slot one and only one user is scheduled, is neither empty nor has multiple values, i.e., with bit 0 mapped to NACK and bit 1 to ACK feedback.  ... 
doi:10.1109/tit.2011.2173717 fatcat:arwv6wg5v5c6zc3qkd6ctppo3e

A Survey on Trust Models in Cloud Computing

K. Gokulnath, Rhymend Uthariaraj
2016 Indian Journal of Science and Technology  
Methods/Statistical Analysis: Cloud Computing caters dynamic resources and on-demand services without the overhead of license, purchase and other traditional IT administration activities.  ...  Trust is always a worry for the new technologies and also for distributed computing paradigm. Prospective users to Cloud Computing shall be tapped in only if the issue is precisely addressed.  ...  Feedback Model Most common method among the distributed system is to collect the feedback of a target system and rate it accordingly and termed as feedback based trust establishment.  ... 
doi:10.17485/ijst/2016/v9i47/108685 fatcat:hsgddyg4mjcfbol2yhfas4jgba

Quality of service for networked virtual environments

D. Gracanin, Yunxian Zhou, L.A. DaSilva
2004 IEEE Communications Magazine  
Network statistics and application state changes caused by user actions are used to calculate the mapping models.  ...  The mapping of QoS metrics between user and application levels is achieved by using summative evaluation techniques and analyzing the statistical results.  ... 
doi:10.1109/mcom.2004.1284928 fatcat:aj2gl6vwhfd2xe6gxk6fc3fpfq

BCAS: a web-enabled and GIS-based decision support system for the diagnosis and treatment of breast cancer

Guisseppi A. Forgionne, Aryya Gangopadhyay, Monica Adya, Joseph K. Tan
2001 International Journal of Healthcare Technology and Management  
Various statistical models have been proposed.  ...  Applications of these models, however, require that the data be assembled from a variety of sources, converted into the statistical models' parameters and delivered effectively to researchers and policy  ...  A multiple equation statistical model can be used to establish independent and joint causation among these data.  ... 
doi:10.1504/ijhtm.2001.001120 fatcat:7mj4dnzvh5eg3bfkouddtkltyq

Construction of a Decision Support System Based on GP Services, Using a Warning–Judgment Module as an Example

Xuejia Sang, Linfu Xue, Xiaopeng Leng, Jiwen Liu, Liang Zhan
2017 ISPRS International Journal of Geo-Information  
, query, map plot, and path analysis functions.  ...  This paper uses the warning-judgment module as an example to introduce the structure and function of the DSS system.  ...  model of DSS has been established.  ... 
doi:10.3390/ijgi6060167 fatcat:4pgv24c23jdtbncludkvtkht4a

Iterative Expectation for Multi Period Information Retrieval [article]

Marc Sloan, Jun Wang
2013 arXiv   pre-print
Many Information Retrieval (IR) models make use of offline statistical techniques to score documents for ranking over a single period, rather than use an online, dynamic system that is responsive to users  ...  document relevance dynamically over time using user feedback in a way that can handle rank bias.  ...  These were chosen as they are wellTable 1: Summary of mean final MAP and nDCG@10 values after T = 500 time steps for each click model UCB-IE variant, and for each value of the exploration parameter λ.  ... 
arXiv:1303.5250v1 fatcat:je3zcm6xrnhcpgtpa6schwe5ty

MFMAP: Learning to Maximize MAP with Matrix Factorization for Implicit Feedback in Recommender System

2019 KSII Transactions on Internet and Information Systems  
Traditional recommendation algorithms on Collaborative Filtering (CF) mainly focus on the rating prediction with explicit ratings, and cannot be applied to the top-N recommendation with implicit feedbacks  ...  To tackle this problem, we propose a new collaborative filtering approach namely Maximize MAP with Matrix Factorization (MFMAP).  ...  By using the smoothing function approximation to replace the non-smooth part of the MAP, the objective function can be optimized using an optimization method, and the parameters of the model are trained  ... 
doi:10.3837/tiis.2019.05.008 fatcat:c6xnhtpuzjf4ld7cgbk47x44fy

Improving web search ranking by incorporating user behavior information

Eugene Agichtein, Eric Brill, Susan Dumais
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
We examine alternatives for incorporating feedback into the ranking process and explore the contributions of user feedback compared to other common web search features.  ...  We report results of a large scale evaluation over 3,000 queries and 12 million user interactions with a popular web search engine.  ...  ACKNOWLEDGMENTS We thank Chris Burges and Matt Richardson for an implementation of RankNet for our experiments. We also thank Robert Ragno for his valuable suggestions and many discussions.  ... 
doi:10.1145/1148170.1148177 dblp:conf/sigir/AgichteinBD06 fatcat:xsewkoz2bzgu5kx4wbqj5kel24

Feedback driven improvement of data preparation pipelines

Nikolaos Konstantinou, Norman W. Paton
2019 Information Systems  
The approach has been implemented to refine the results of of matching, mapping and data repair components in the VADA data preparation system, and is evaluated using deep web and open government data  ...  This paper goes further, by proposing an approach in which feedback on the correctness of values in a data product can be used to revise the results of diverse data preparation components.  ...  The following section uses statistical techniques to compare matches, mappings and feedback using evidence from feedback.  ... 
doi:10.1016/j.is.2019.101480 fatcat:lpo53g3bcbdlxhascdkwkm4eji

Reverted indexing for feedback and expansion

Jeremy Pickens, Matthew Cooper, Gene Golovchinsky
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
These recovered queries can then be used to identify additional documents, or to aid the user in query formulation, selection, and feedback.  ...  For each query, the resulting document IDs are treated as terms and the score or rank of the document is used as the frequency statistic. An index of documents retrieved by basis queries is created.  ...  Models other than tf·idf use concepts such as eliteness [2, 10] and risk [14] ; those statistics are also applicable in the reverted setting.  ... 
doi:10.1145/1871437.1871571 dblp:conf/cikm/PickensCG10 fatcat:uym2nxns65dopcbnmxxkac26li

Multi-faceted Trust-based Collaborative Filtering

Noemi Mauro, Liliana Ardissono, Zhongli Filippo Hu
2019 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization - UMAP '19  
We test our model on two datasets: the Yelp one publishes generic friend relations between users but provides different types of trust feedback, including user profile endorsements.  ...  The results of our experiments show that, on the Yelp dataset, our model outperforms both U2UCF and state-of-the-art trust-based recommenders that only use rating similarity and social relations.  ...  Users establish friend relations in order to view the other users' virtual libraries and contributions.  ... 
doi:10.1145/3320435.3320441 dblp:conf/um/MauroAH19 fatcat:nqs3yqkfijaffdkn3kaqc2sedq

Optimum Noncoherent Multiuser Decision Feedback Detection

D. Das, M.K. Varanasi
2004 IEEE Transactions on Information Theory  
The term "noncoherent" in this work is used to denote that the receiver has no knowledge of the carrier phases and received signal energies of any of the users.  ...  Several properties of the optimum decision feedback detector are established, one of which is that it outperforms the decision feedback generalized-likelihood ratio (GLR) detector in symmetric energy.  ...  model (69) The scaled decision statistics and for user for the decision feedback and non-decision feedback detection strategies, respectively, can be seen to be the equal energy models corresponding  ... 
doi:10.1109/tit.2004.833348 fatcat:5zhuirbapfebjkezdqiwiyrtse

Improving Product-Service Systems by Exploiting Information From The Usage Phase. A Case Study

Johannes Lützenberger, Patrick Klein, Karl Hribernik, Klaus-Dieter Thoben
2016 Procedia CIRP  
The linkage between both sides (product structure data and PUI) can be achieved by mapping design parameters directly to parameters and values provided by sensors.  ...  To enable an analysis of these parameters the modelling language will provide statistical elements (e.g. median) allowing the extraction of critical values (information) from data streams.  ...  Conclusion and Outlook An efficient use of Product Usage Information (such as sensor data or user feedback) requires the identification of dependencies between PUI and design parameters or component attributes  ... 
doi:10.1016/j.procir.2016.03.064 fatcat:q7u2ro24cvhupp26crttnc7vhq

Improving relevance feedback-based query expansion by the use of a weighted word pairs approach

Francesco Colace, Massimo De Santo, Luca Greco, Paolo Napoletano
2015 Journal of the Association for Information Science and Technology  
We experimented with both the explicit and pseudorelevance feedback schemas and compared the proposed term extraction method with others in the literature, such as KLD and RM3.  ...  Standard text retrieval systems can handle a WWP structure through custom Boolean weighted models.  ...  As shown in Figure 5 , highest MAP values (lightest gray) are obtained when the WWP has been built using three relevant documents and the number of pairs is set to 50 at least.  ... 
doi:10.1002/asi.23331 fatcat:x6nwikmtobb6vnq2gmwiwjkzcy
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