Modeling User Behavior for Vertical Search: Images, Apps and Products
| Authors |
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|---|---|
| Publication date | 2020 |
| Book title | SIGIR '20 |
| Book subtitle | proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China |
| ISBN (electronic) |
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| Event | 43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020 |
| Pages (from-to) | 2440-2443 |
| Publisher | New York, NY: Association for Computing Machinery |
| Organisations |
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| Abstract | Search applications such as image search, app search and product search are crucial parts of web search, which we denote as vertical search services. This tutorial will introduce the research and applications of user behavior modeling for vertical search. The bulk of the tutorial is devoted to covering research into behavior patterns, user behavior models and applications of user behavior data to refine evaluation metrics and ranking models for web-based vertical search. |
| Document type | Conference contribution |
| Note | Tutorial. - With supplemental material. |
| Language | English |
| Published at | https://doi.org/10.1145/3397271.3401423 |
| Other links | https://github.com/THU xiexiaohui/SIGIR-2020-Tutorial |
| Downloads |
xie-2020-modeling
(Accepted author manuscript)
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| Permalink to this page | |
