  Reasoning on knowledge graph (KG) has been studied for explainable
recommendation due to it's ability of providing explicit explanations. However,
current KG-based explainable recommendation methods unfortunately ignore the
temporal information (such as purchase time, recommend time, etc.), which may
result in unsuitable explanations. In this work, we propose a novel Time-aware
Path reasoning for Recommendation (TPRec for short) method, which leverages the
potential of temporal information to offer better recommendation with plausible
explanations. First, we present an efficient time-aware interaction relation
extraction component to construct collaborative knowledge graph with time-aware
interactions (TCKG for short), and then introduce a novel time-aware path
reasoning method for recommendation. We conduct extensive experiments on three
real-world datasets. The results demonstrate that the proposed TPRec could
successfully employ TCKG to achieve substantial gains and improve the quality
of explainable recommendation.
