Computer Science ›› 2017, Vol. 44 ›› Issue (5): 189-192.doi: 10.11896/j.issn.1002-137X.2017.05.034

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Time-aware Cross-type Entity Recommendation in Heterogeneous Information Spaces

YANG Dan, CHEN Mo, WANG Gang and SUN Liang-xu   

  • Online:2018-11-13 Published:2018-11-13

Abstract: With entity search has become a new trend of information retrieval,entity recommendation has also become one of the hottest research problems in industry and academia.Due to heterogeneous entities with rich associations in heterogeneous information spaces,so cross-type entity recommendation is vital.Moreover heterogeneous entities have time information and evolve over time in heterogeneous information spaces,users want to get the most time relevant entity recommendation.In this paper,a time-aware cross-type entity recommendation framework T-ERe was proposed,which leverages rich associations among different entity types and query log to realize cross-type entity recommendation.T-ERe considers temporal information of entities and recommends the most time-relevant various types of entities to users.Experimental results on two real data sets demonstrate the feasibility and effectiveness of T-ERe.

Key words: Entity recommendation,Time-aware,Cross-type,Heterogeneous information spaces

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