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SIGIR Ecom Data Challenge 2019 : eBay Data Challenge- High Accuracy Recall Task

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Link: https://sigir-ecom.github.io/data-task.html
 
When Jul 25, 2019 - Jul 25, 2019
Where Paris, France
Submission Deadline TBD
Categories    ecommerce ir   information retrieval   data challenge   product search
 

Call For Papers

Call For Participation:

The 2019 SIGIR workshop on eCommerce is hosting the High Accuracy Recall Task Data Challenge as part of the workshop. The data is provided by eBay search. SIGIR eCom is a full day workshop taking place on Thursday, July 25, 2019 in conjunction with SIGIR 2019 in Paris, France. Challenge participants will have the opportunity to present their work at the workshop.

Challenge website: https://sigir-ecom.github.io/data-task.html

Important Dates:
Data Challenge opens: May 17, 2019
Final Leaderboard - July 18, 2019
SIGIR eCom Full day Workshop - July 25, 2019

Task Description:

This challenge targets a common problem in eCommerce search: Identifying the items to show when using non-relevance sorts. Users of eCommerce search applications often sort by dimensions other than relevance. Popularity, review score, price, distance, recency, etc. This is a notable difference from traditional information oriented search, including web search, where documents are surfaced in relevance order.

Relevance ordering obviates the need for explicit relevant-or-not decisions on individual documents. Many well studied search methodologies take advantage of this. Non-relevance sorts orders are less well studied, but raise a number of interesting research topics. Evaluation metrics, ranking formulas, performance optimization, user experience, and more. These topics are discussed in the High Accuracy Recall Task paper, published at the SIGIR 2018 Workshop on eCommerce.

This search challenge focuses on the most basic aspect of this problem: identifying the items to include in the recall set when using non-relevance sorts. This is already a difficult problem, and includes typical search challenges like ambiguity, multiple query intents, etc.

Participation and Data:

The data challenge is open to everyone.

The challenge data consists of a set of popular search queries and a fair size set of candidate documents. Challenge participants make a boolean relevant-or-not decision for each query-document pair. Human judgments are used to create labeled training and evaluation data for a subset of the query-document pairs. Evaluation of submissions will be based on the traditional F1 metric, incorporating components of both recall and precision.

Details about evaluation metrics and other aspects of the task can be found at the website: https://sigir-ecom.github.io/data-task.html

Related Resources

SIGIR 2019   International ACM SIGIR Conference on Research and Development in Information Retrieval
WSDM 2020   ACM International Conference on Web Search and Data Mining
ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
ECIR 2020   42nd European Conference on Information Retrieval
Ei ISEEIE 2019   2019 2nd International Symposium on Electrical, Electronics and Information Engineering(ISEEIE 2019)
SOFEA 2019   5th International Conference on Software Engineering and Applications
CLNLP 2020   2020 International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2020)
CTCM 2019   5th International Conference of Control Theory and Computer Modelling
SIGIR eCom 2019   The 2019 SIGIR Workshop on eCommerce
CHIIR 2020   ACM SIGIR Conference on Human Information Interaction and Retrieval