ACM Transactions on Information Systems (TOIS)
Selecting good expansion terms for pseudo-relevance feedback
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Query dependent pseudo-relevance feedback based on wikipedia
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Temporal pseudo-relevance feedback in microblog retrieval
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Exploiting time in automatic image tagging
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
On using inter-document relations in microblog retrieval
Proceedings of the 22nd international conference on World Wide Web companion
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As digital collections expand, the importance of the temporal aspect of information has become increasingly apparent. The aim of this paper is to investigate the effect of using long-term temporal profiles of terms in information retrieval by enhancing the term selection process of pseudo-relevance feedback (PRF). For this purpose, two temporal PRF approaches were introduced considering only temporal aspect and temporal along with textual aspect. Experiments used the AP88-89 and WSJ87-92 test collections with TREC Ad-Hoc Topics 51-100. Term temporal profiles are extracted from the Google Books n-grams dataset. The results show that the long-term temporal aspects of terms are capable of enhancing retrieval effectiveness.