Random walk term weighting for information retrieval
Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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Random walk term weighting for information retrieval. / Blanco, R.; Lioma, Christina.
Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. 2007. s. 829-830.Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
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TY - CHAP
T1 - Random walk term weighting for information retrieval
AU - Blanco, R.
AU - Lioma, Christina
PY - 2007/1/1
Y1 - 2007/1/1
N2 - We present a way of estimating term weights for Information Retrieval (IR), using term co-occurrence as a measure of dependency between terms.We use the random walk graph-based ranking algorithm on a graph that encodes terms and co-occurrence dependencies in text, from which we derive term weights that represent a quantification of how a term contributes to its context. Evaluation on two TREC collections and 350 topics shows that the random walk-based term weights perform at least comparably to the traditional tf-idf term weighting, while they outperform it when the distance between co-occurring terms is between 6 and 30 terms.
AB - We present a way of estimating term weights for Information Retrieval (IR), using term co-occurrence as a measure of dependency between terms.We use the random walk graph-based ranking algorithm on a graph that encodes terms and co-occurrence dependencies in text, from which we derive term weights that represent a quantification of how a term contributes to its context. Evaluation on two TREC collections and 350 topics shows that the random walk-based term weights perform at least comparably to the traditional tf-idf term weighting, while they outperform it when the distance between co-occurring terms is between 6 and 30 terms.
UR - http://www.scopus.com/inward/record.url?scp=36448963046&partnerID=8YFLogxK
U2 - 10.1145/1277741.1277930
DO - 10.1145/1277741.1277930
M3 - Book chapter
AN - SCOPUS:36448963046
SN - 9781595935977
SP - 829
EP - 830
BT - Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
ER -
ID: 49502390