activity
20192021
most citedAn end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain

10 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20211 cited

Quotient Space-Based Keyword Retrieval in Sponsored Search

Yijiang Lian, Shuang Li, Chaobing Feng +1

Synonymous keyword retrieval has become an important problem for sponsored search ever since major search engines relax the exact match product's matching requirement to a synonymo…

cs.IR2021

A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search

Yijiang Lian, Yubo Liu, Zhicong Ye +5

In sponsored search, retrieving synonymous keywords for exact match type is important for accurately targeted advertising. Data-driven deep learning-based method has been proposed…

cs.LG2020

Optimizing AD Pruning of Sponsored Search with Reinforcement Learning

Yijiang Lian, Zhijie Chen, Xin Pei +10

Industrial sponsored search system (SSS) can be logically divided into three modules: keywords matching, ad retrieving, and ranking. During ad retrieving, the ad candidates grow ex…

cs.IR20202 cited

Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way

Yijiang Lian, Zhenjun You, Fan Wu +2

In sponsored search, retrieving synonymous keywords is of great importance for accurately targeted advertising. The semantic gap between queries and keywords and the extremely high…

cs.IR201910 cited

An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain

Yijiang Lian, Zhijie Chen, Jinlong Hu +11

In this paper, we present a generative retrieval method for sponsored search engine, which uses neural machine translation (NMT) to generate keywords directly from query. This meth…