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ISIR-eCom 2022 : INTERACTIVE AND SCALABLE INFORMATION RETRIEVAL METHODS FOR ECOMMERCE ((conjunction with WSDM 2022)

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Link: https://isir-ecom.github.io/
 
When Feb 21, 2022 - Feb 25, 2022
Where Phoenix, Arizona
Submission Deadline Dec 18, 2022
Notification Due Jan 20, 2022
Final Version Due Feb 15, 2022
Categories    users and interactive retriev   machine learning   search engine architectures an   retrieval modelsand ranking
 

Call For Papers


CALL FOR PAPERS:

Interactive and Scalable Information Retrieval Methods foreCommerce (ISIR-eCom)
To be held in conjunction with WSDM 2022
Feb 25th, 2022, Phoenix, Arizona
https://isir-ecom.github.io/

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IMPORTANT DATES (AOE):
Submission deadline: Dec 18, 2021
Paper notifications: Jan 20, 2022
Camera-ready deadline: Feb 15, 2022
Workshop Day: Feb 25, 2022

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DESCRIPTIONS:

This workshop is targeted to provide academic and industrial researchers a platform to present their latest works, share research ideas, present and discuss various challenges. Hence, we invite two kinds of contributions: full research papers (up to 10 pages) and short papers (up to 5 pages). Submissions must be in English, as PDF file, formated according to the new ACM format published in ACM guidelines, selecting the generic two-column “sigconf” sample (including references and figures). The papers can represent reports of original research, preliminary research results, or proposals for new work. The review process is single-blind. Papers will be evaluated according to their significance, originality, technical content, style, clarity, relevance to the workshop, and likelihood of generating discussion. Authors should note that changes to the author list after the submission deadline are not allowed without permission from the PC Chairs. At least one author of each accepted paper is required to register for, attend, and present the work at the workshop.

TOPICS OF INTEREST INCLUDE BUT NOT LIMITED TO:
Query Understanding
Type-ahead/auto-completion, spell correction
Query intent understanding
Non-text query understanding
Attribute understanding
Product Understanding
Product intent and facets
Product knowledge graph
Ontology mining for product graph construction
Product Retrieval and Ranking
Product indexing and recall
Scalable and real-time indexing for frequently changing products (offers, auctions, etc.)
Recall and Ranking for multi-faceted products and multi-attributed queries
Ranking for Relevance vs Popularity vs Business trade-offs
Search Re-Ranking
Personalization and Recommendation
Interactive Search for personalization
Interactive Search for personalization
Context and/or location based personalization
User attribute based personalization
Personalized and Semantic Retrieval
Conversational Search and Recommendation
Multi-turn product search and recommendation
Conversational query understanding and re-writing
Clarification and preference elicitation
Conversational result presentation and explanation
Multi-modal conversational systems for eCommerce
Other Topics
Feature learning for eCommerce search
Search & Recommendations: Fairness and trust for marketplaces
Balancing sponsorship vs relevance tread off in search results
Robust training objective and effective experimental strategy for IR models
End-to-End solution for interactive and scalable search framework
All papers must be submitted via EasyChair at: https://easychair.org/conferences/?conf=isirecom2022



Please send questions and enquiries to isir-wsdm@googlegroups.com.

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