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Improving Entity Recommendation with Search Log and Multi-Task Learning
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Entity recommendation, providing search users with an improved experience by assisting them in finding related entities for a given query, has become an indispensable feature of today's Web search engine. Existing studies typically only consider the query issued at the current time step while ignoring the in-session preceding queries. Thus, they typically fail to handle the ambiguous queries such as "apple" because the model could not understand which apple (company or fruit) is talked about.doi:10.24963/ijcai.2018/571 dblp:conf/ijcai/HuangZSWL18 fatcat:wp6aafzj5nbvjfdkxwmusf2qhu