Manifesto from Dagstuhl Perspectives Workshop 17442 - From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences

@inproceedings{Ferro2018ManifestoFD,
  title={Manifesto from Dagstuhl Perspectives Workshop 17442 - From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences},
  author={N. Ferro and Fuhr Norbert and Grefenstette Gregory and Joseph A. Konstan and Castells Pablo and Elizabeth M. Daly and Declerck Thierry and Michael D. Ekstrand and Geyer Werner and Gonzalo Julio and Kuflik Tsvi and Lind{\'e}n Krister and Ma. Theresa H. Bernardo and Nie Jian-yun and Perego Raffaele and Bracha Shapira and Soboroff Ian and Tintarev Nava and Verspoor Karin and Martijn C. Willemsen and Zobel Justin},
  year={2018}
}
We describe the state-of-the-art in performance modeling and prediction for Information Retrieval (IR), Natural Language Processing (NLP) and Recommender Systems (RecSys) along with its shortcomings and strengths. We present a framework for further research, identifying five major problem areas: understanding measures, performance analysis, making underlying assumptions explicit, identifying application features determining performance, and the development of prediction models describing the… 

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References

SHOWING 1-10 OF 130 REFERENCES
Query-performance prediction: setting the expectations straight
TLDR
Focusing on this specific prediction task, namely query ranking by presumed effectiveness, a novel learning-to-rank-based approach that uses Markov Random Fields is presented and the resultant prediction quality substantially transcends that of state-of-the-art predictors.
Research Frontiers in Information Retrieval Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018)
TLDR
The intent is that this description of open problems will help to inspire researchers and graduate students to address the questions, and will provide funding agencies data to focus and coordinate support for information retrieval research.
Predicting query performance
TLDR
It is suggested that clarity scores measure the ambiguity of a query with respect to a collection of documents and show that they correlate positively with average precision in a variety of TREC test sets.
Reproducibility Challenges in Information Retrieval Evaluation
  • N. Ferro
  • Computer Science
    ACM J. Data Inf. Qual.
  • 2017
TLDR
Experimental evaluation relies on the Cranfield paradigm, which makes use of experimental collections, consisting of documents, sampled from a real domain of interest; topics, representing real user information needs in that domain; and relevance judgements, determining which documents are relevant to which topics.
Evaluation-as-a-Service: Overview and Outlook
TLDR
The objective of this white paper are to summarize and compare the current approaches and consolidate the experiences of these approaches to outline the next steps of EaaS, particularly towards sustainable research infrastructures.
A survey of pre-retrieval query performance predictors
TLDR
In this poster, 22 pre-retrieval predictors are categorized and assessed on three different TREC test collections and such predictors base their predictions solely on query terms, the collection statistics and possibly external sources such as WordNet.
Reliable Information Access Final Workshop Report
TLDR
For many years the standard approach to question answering, or searching for information, has involved information retrieval systems, and the current statistical approaches to IR have shown themselves to be effective and reliable in both research and commercial settings.
Estimating the query difficulty for information retrieval
TLDR
This tutorial is to expose participants to the current research on query performance prediction (also known as query difficulty estimation), and participants will become familiar with states-of-the-art performance prediction methods, and with common evaluation methodologies for prediction quality.
Toward an anatomy of IR system component performances
TLDR
A methodology based on the General Linear Mixed Model (GLMM) and analysis of variance (ANOVA) is proposed to develop statistical models able to isolate system variance and component effects as well as their interaction, by relying on a grid of points containing all the combinations of the analyzed components.
Towards a Formal Framework for Utility-oriented Measurements of Retrieval Effectiveness
TLDR
This paper presents a formal framework to define and study the properties of utility-oriented measurements of retrieval effectiveness, like AP, RBP, ERR and many other popular IR evaluation measures, thus contributing to explicitly link IR evaluation to a broader context.
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