Time-Aware Diversified Query Suggestion
Xiaojuan Zhang, Peng Lin · 2018
In this paper, we study query suggestion diversi cation for time- aware queries, where query suggestions are diversified from multiple dimensions (e.g., topic and time). More precisely, we introduce the method of Time-aware Diversified Query Suggestion (TDQS) which ensures that the generated suggested queries indicate possible time points in which a searcher who issued the original query may be interested. Preliminary experiments on AOL query log demonstrate that our proposed method can significantly improve the diversity and relevance e ectiveness for time-aware queries in comparison with two state-of-the-art methods.