Information Discovery in E-commerce Half-day SIGIR 2018 tutorial
| Authors |
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|---|---|
| Publication date | 2018 |
| Book title | SIGIR #41 proceedings |
| Book subtitle | Ann Arbor, Michigan, USA, 08-12, July 2018 |
| ISBN (electronic) |
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| Event | 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 |
| Pages (from-to) | 1379-1382 |
| Number of pages | 4 |
| Publisher | New York, NY: Association for Computing Machinery |
| Organisations |
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| Abstract |
E-commerce (electronic commerce or EC) is the buying and selling of goods and services, or the transmitting of funds or data online. E-commerce platforms come in many kinds, with global players such as Amazon, Airbnb, Alibaba, eBay, JD.com and platforms targeting specific markets such as Bol.com and Booking.com. Information retrieval has a natural role to play in e-commerce, especially in connecting people to goods and services. Information discovery in e-commerce concerns different types of search (exploratory search vs. lookup tasks), recommender systems, and natural language processing in e-commerce portals. Recently, the explosive popularity of e-commerce sites has made research on information discovery in e-commerce more important and more popular. There is increased attention for e-commerce information discovery methods in the community as witnessed by an increase in publications and dedicated workshops in this space. Methods for information discovery in e-commerce largely focus on improving the performance of e-commerce search and recommender systems, on enriching and using knowledge graphs to support e-commerce, and on developing innovative question-answering and bot-based solutions that help to connect people to goods and services. Below we describe why we believe that the time is right for an introductory tutorial on information discovery in e-commerce, the objectives of the proposed tutorial, its relevance, as well as more practical details, such as the format, schedule and support materials. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1145/3209978.3210185 |
| Other links | https://www.scopus.com/pages/publications/85051460580 |
| Downloads |
3209978.3210185
(Final published version)
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