Topics

         Topics of interest include, but are not limited to:

• Machine learning techniques such as online learning and deep learning for eCommerce applications
• Semantic representation for users, products and services & Semantic understanding of queries
• Structured data and faceted search, converting unstructured data to its structured form
• The use of domain specific facets in search and other IR tasks, and how those facets are chosen
• Temporal dynamics for Search and Recommendation
• Models for relevance and ranking for multi-faceted entities
• Deterministic (and other) sorting of results lists (e.g. price low to high including postage)
• Personalized search and recommendations
• Session aware and session oriented search and recommendation
• Inventory display issues (for example: legal, ethical, and spam)
• Cold start issues
• Personalization and the use of personal facets such as age, gender, location etc.
• Indexing efficiency incorporating structured product data and catalog information
• Indexing and search in a rapidly changing environment (for example, an auction site)
• Scalability
• Diversity in product search and recommendations
• Strategies for resolving extremely low (or no) recall queries
• Query intent
• Semantic understanding of queries
• The use of external features such as reviews and ratings in ranking
• User interfaces and personalization
• Reviews and sentiment analysis
• The use of social signals in ranking and beyond
• The balance between business requirements and user requirements (revenue vs relevance)
• Trust
• Live experimentation
• Desktop and mobile issues
• Question and answering, chatbots for eCommerce
• Conversational commerce: shopping using voice assistants such as Amazon Alexa and Google Now
• Fashion eCommerce

Resource Track

In order to promote academic research in the eCommerce domain, we plan to accept a small number of high quality dataset contributions. These submissions should be accompanied by a clear and detailed description of the dataset, some potential questions and applications that arise from it. Preliminary empirical investigations conveying any insight about the data will increase the quality of the submission.

Submission Instructions

All papers will be peer reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. All submissions must be formatted according to the latest ACM SIG proceedings template available at http://www.acm.org/publications/proceedings-template (LaTeX users use sample-sigconf.tex as a template).

Submissions must describe work that is not previously published, not accepted for publication elsewhere, and not currently under review elsewhere. All submissions must be in English. Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper in-person.

Submissions to SIGIR eCom should be made at https://easychair.org/conferences/?conf=ecom18

The deadline for paper submission is May 11, 2018(11:59 P.M.AoE)