On the Approximability of the Minimum Test Collection Problem

2001 ◽  
pp. 158-169 ◽  
Author(s):  
Bjarni V. Halldórsson ◽  
Magnús M. Halldórsson ◽  
R. Ravi
Keyword(s):  
Test Collection

The CSIRO enterprise search test collection

2007 ◽  
Vol 41 (2) ◽  
pp. 42-45 ◽  
Author(s):  
Peter Bailey ◽  
Nick Craswell ◽  
Ian Soboroff ◽  
Arjen P. de Vries
Keyword(s):  
Test Collection ◽  
Enterprise Search

A Test Collection for Ad-hoc Dataset Retrieval

2021 ◽  
Author(s):  
Makoto P. Kato ◽  
Hiroaki Ohshima ◽  
Ying-Hsang Liu ◽  
Hsin-Liang Chen
Keyword(s):  
Ad Hoc ◽  
Test Collection

scholarly journals A Test Collection for Interactive Lifelog Retrieval

2018 ◽  
pp. 312-324 ◽  
Author(s):  
Cathal Gurrin ◽  
Klaus Schoeffmann ◽  
Hideo Joho ◽  
Bernd Munzer ◽  
Rami Albatal ◽  
...  
Keyword(s):  
Test Collection

Test Collection

2009 ◽  
pp. 3040-3041
Author(s):  
Ben Carterette
Keyword(s):  
Test Collection

scholarly journals Neural Embedding-Based Metrics for Pre-retrieval Query Performance Prediction

2021 ◽  
Author(s):  
Arabzadehghahyazi Negar
Keyword(s):  
Performance Prediction ◽  
State Of The Art ◽  
Learning To Rank ◽  
The State ◽  
Test Collection ◽  
Query Performance ◽  
Performance Predictors ◽  
Level Statistics ◽  
Ablation Study ◽  
Individual Specificity

file:///C:/Users/MWF/Downloads/Arabzadehghahyazi, Negar.Pre-retrieval Query Performance Prediction (QPP) methods are oblivious to the performance of the retrieval model as they predict query difficulty prior to observing the set of documents retrieved for the query. Among pre-retrieval query performance predictors, specificity-based metrics investigate how corpus, query and corpus-query level statistics can be used to predict the performance of the query. In this thesis, we explore how neural embeddings can be utilized to define corpus-independent and semantics-aware specificity metrics. Our metrics are based on the intuition that a term that is closely surrounded by other terms in the embedding space is more likely to be specific while a term surrounded by less closely related terms is more likely to be generic. On this basis, we leverage geometric properties between embedded terms to define four groups of metrics: (1) neighborhood-based, (2) graph-based, (3) cluster-based and (4) vector-based metrics. Moreover, we employ learning-to-rank techniques to analyze the importance of individual specificity metrics. To evaluate the proposed metrics, we have curated and publicly share a test collection of term specificity measurements defined based on Wikipedia category hierarchy and DMOZ taxonomy. We report on our extensive experiments on the effectiveness of our metrics through metric comparison, ablation study and comparison against the state-of-the-art baselines. We have shown that our proposed set of pre-retrieval QPP metrics based on the properties of pre-trained neural embeddings are more effective for performance prediction compared to the state-of-the-art methods. We report our findings based on Robust04, ClueWeb09 and Gov2 corpora and their associated TREC topics.

scholarly journals Effectiveness of Acceptance and Commitment Therapy on Resilience, Psychological Well-Being, and Life Expectancy in Asthmatic Patients

2021 ◽  
Author(s):  
Shaghayegh Bahramiabdolmalaki ◽  
Alireza Homayouni ◽  
Masoud Aliyali
Keyword(s):  
Life Expectancy ◽  
Acceptance And Commitment Therapy ◽  
Well Being ◽  
Test Collection ◽  
Psychological Well Being ◽  
Asthmatic Patients ◽  
Commitment Therapy ◽  
Acceptance And Commitment ◽  
Significant Difference ◽  
Post Test

Introduction: Psychosomatic experts have tried to associate mental disorders to physical illnesses. The vulnerability of different parts of the body is thought to depend on fundamental differences between individuals. One of the methods that seems to affect the psychological problems of asthma patients is acceptance and commitment therapy. Therefore, the aim of this study was to evaluate the effectiveness of acceptance- and commitment-based therapy on resilience, psychological well-being, and life expectancy in asthmatic patients. Methods: This quasi-experimental pre-test and post-test study was conducted on 30 asthmatic patients who were randomly assigned to the experimental (n = 15) and control (n = 15) groups according to the inclusion criteria. Acceptance and commitment therapy sessions were based on the treatment package of Hayes et al. in 8 sessions of 60 minutes on the experimental group and no intervention was performed on the control group. All participants took part in the pre-test and post-test. Collection tools included Conner-Davidson Resilience Questionnaire, Schneider Life expectancy, and Ryf Psychological Well-being. Results: The results showed a significant difference in the components of resilience, psychological well-being, and life expectancy in asthmatic patients before and after the experiment (p <0.05). In other words, acceptance and commitment-based therapy had a positive effect on resilience, psychological well-being and life expectancy in asthmatic patients and these components have increased in patients. Conclusion: Findings showed that acceptance- and commitment-based therapy was effective on resilience, psychological well-being, and life expectancy of asthmatic patients. This treatment is suggested to be used in conjunction with drug therapy to improve the psychological symptoms of asthmatic patients.

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