12 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.IR2021
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
Zijian Li, Ruichu Cai, Fengzhu Wu +4
Sequential recommendation aims to choose the most suitable items for a user at a specific timestamp given historical behaviors. Existing methods usually model the user behavior seq…
cs.IR2020
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems
Qiaoan Chen, Hao Gu, Lingling Yi +4
On social network platforms, a user's behavior is based on his/her personal interests, or influenced by his/her friends. In the literature, it is common to model either users' pers…
cs.IR2019★ 12 cited
Semantic Product Search
Priyanka Nigam, Yiwei Song, Vijai Mohan +7
We study the problem of semantic matching in product search, that is, given a customer query, retrieve all semantically related products from the catalog. Pure lexical matching via…