TY - GEN
T1 - A distributional similarity measure for query-dependent ranking in web mining
AU - Jiang, Jung Yi
AU - Lee, Lian Wang
AU - Lee, Shie Jue
PY - 2010/11/15
Y1 - 2010/11/15
N2 - Ranking model construction is an important topic in information retrieval and web mining. Recently, many approaches based on the idea of "learning to rank" have been proposed for this task and most of them attempt to score all documents of different queries by resorting to a single function. In this paper, we propose a distributional similarity measure for query-dependent ranking. In the query-dependent ranking framework, an individual ranking model is constructed for each training query with associated documents. When a new query is asked, the documents retrieved for the new query are ranked according to the scores determined by a joint ranking model which is combined from the individual models of similar training queries. The distributional similarity measure is used to calculate the similarities between queries. Experimental results show that our method is more effective than other approaches.
AB - Ranking model construction is an important topic in information retrieval and web mining. Recently, many approaches based on the idea of "learning to rank" have been proposed for this task and most of them attempt to score all documents of different queries by resorting to a single function. In this paper, we propose a distributional similarity measure for query-dependent ranking. In the query-dependent ranking framework, an individual ranking model is constructed for each training query with associated documents. When a new query is asked, the documents retrieved for the new query are ranked according to the scores determined by a joint ranking model which is combined from the individual models of similar training queries. The distributional similarity measure is used to calculate the similarities between queries. Experimental results show that our method is more effective than other approaches.
UR - http://www.scopus.com/inward/record.url?scp=78149335644&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149335644&partnerID=8YFLogxK
U2 - 10.1109/ICMLC.2010.5580775
DO - 10.1109/ICMLC.2010.5580775
M3 - Conference contribution
AN - SCOPUS:78149335644
SN - 9781424465262
T3 - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
SP - 2875
EP - 2880
BT - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
T2 - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Y2 - 11 July 2010 through 14 July 2010
ER -