中文摘要 |
The Social Book Search (SBS) Lab is part of Conference and Labs of the Evaluation Forum(CLEF) lab series, which provides query topics on book suggestion in natural language.Participant teams have to build systems that can make suggestions out of 2.8 million books.This paper reports how the CYUT team attends the SBS track from 2013 to 2016. Our system isbased on keyword searching and ranking by social features. We also design a query expansionmodule which is based on word2vec, a word embedding toolkit. The new module helps oursystem to get better performance in suggestion track. This paper reports the progression of oursystem. |