On the Value of Answerers in Early Detection of Response Time to Questions for Peer Recommender Systems

2018 ◽  
pp. 160-165
Author(s):  
Oluwabukola Mayowa (Ishola) Idowu ◽  
Gordon McCalla
Keyword(s):  
Early Detection ◽  
Response Time ◽  
Recommender Systems

Efficient Mining of Skyrank Items in Recommender Systems

2012 ◽  
Vol 472-475 ◽  
pp. 3450-3454
Author(s):  
Zhen Hua Huang ◽  
Dong Wang ◽  
Sheng Li Sun
Keyword(s):  
Response Time ◽  
Recommender Systems ◽  
Recommender System ◽  
Efficient Algorithm ◽  
Total Response ◽  
Total Response Time ◽  
Theoretical Analyses

Mining of skyrank items has recently received a lot of attention in recommender system community. Literature [3] presents an efficient algorithm ZHYX to produce the skyrank items in one single subspace. However, in multi-user environments, recommender systems generally receive multiple subspace skyrank queries simultaneously. Hence, in this paper, we propose the first efficient sound and complete algorithm, i.e. AMMSSI(Algorithm for Mining Multiple Subsapce Skyrank Items), to markedly reduce the total response time. The detailed theoretical analyses and extensive experiments demonstrate that our proposed algorithm is both efficient and effective.

scholarly journals Let´s go to the cinema! A movie recommender system for ephemeral groups of users

2015 ◽  
Author(s):  
Guillermo Fernández ◽  
Waldemar López ◽  
Bruno Rienzi ◽  
Pablo Rodríguez-Bocca
Keyword(s):  
Response Time ◽  
Recommender Systems ◽  
Recommender System ◽  
Mobile Application ◽  
Recommendation System ◽  
Cold Start ◽  
Entire Group ◽  
Group Model ◽  
Social Activities ◽  
User Data

Going to the cinema or watching television are social activities that generally take place in groups. In these cases, a recommender system for ephemeral groups of users is more suitable than (well-studied) recommender systems for individuals. In this paper we present a recommendation system for groups of users that go to the cinema. The system uses the Slope One algorithm for computing individual predictions and the Multiplicative Utilitarian Strategy as a model to make a recommendation to an entire group. We show how we solved all practical aspects of the system; including its architecture and a mobile application for the service, the lack of user data (ramp-up and cold-start problems), the scaling fit of the group model strategy, and other improvements in order to reduce the response time. Finally, we validate the performance of the system with a set of experiments with 57 ephemeral groups.

Effect of periodic endoscopy for gastric cancer on early detection and improving survival

2001 ◽  
Vol 120 (5) ◽  
pp. A606-A606
Author(s):  
Y MORII ◽  
T YOSHIDA ◽  
T MATSUMATA ◽  
T ARITA ◽  
K SHIMODA ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Early Detection

1820: Complexed PSA for Early Detection of Prostate Cancer: A Multi Institutional Study

2004 ◽  
Vol 171 (4S) ◽  
pp. 481-481
Author(s):  
Ravery V. Vincent ◽  
Chautard D. Denis ◽  
Arnauld A. Villers ◽  
Laurent Boccon Gibbod
Keyword(s):  
Prostate Cancer ◽  
Early Detection

662 Early detection of myocardial dysfunction in myopathies. A tissue Doppler echography study

2003 ◽  
Vol 2 (1) ◽  
pp. 136
Author(s):  
C MEUNE ◽  
C GIRAUDEAU ◽  
H BECANE ◽  
O PASCAL ◽  
P LAFORET ◽  
...  
Keyword(s):  
Early Detection ◽  
Myocardial Dysfunction ◽  
Tissue Doppler ◽  
Doppler Echography

Temporal Prediction Errors Affect Short-Term Memory Scanning Response Time

2016 ◽  
Vol 63 (6) ◽  
pp. 333-342
Author(s):  
Roberto Limongi ◽  
Angélica M. Silva
Keyword(s):  
Response Time ◽  
Short Term Memory ◽  
Estimation Error ◽  
Predictive Coding ◽  
Time Estimation ◽  
Prediction Errors ◽  
Memory Scanning ◽  
Short Term ◽  
Term Memory ◽  
Temporal Prediction

Abstract. The Sternberg short-term memory scanning task has been used to unveil cognitive operations involved in time perception. Participants produce time intervals during the task, and the researcher explores how task performance affects interval production – where time estimation error is the dependent variable of interest. The perspective of predictive behavior regards time estimation error as a temporal prediction error (PE), an independent variable that controls cognition, behavior, and learning. Based on this perspective, we investigated whether temporal PEs affect short-term memory scanning. Participants performed temporal predictions while they maintained information in memory. Model inference revealed that PEs affected memory scanning response time independently of the memory-set size effect. We discuss the results within the context of formal and mechanistic models of short-term memory scanning and predictive coding, a Bayes-based theory of brain function. We state the hypothesis that our finding could be associated with weak frontostriatal connections and weak striatal activity.

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