Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
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Zhao, Q., Hoi, S. C. H., Liu, T.-Y., Bhowmick, S. S., Lyu, M. R. & Ma, W.-Y. | Time-dependent semantic similarity measure of queries using historical click-through data | 2006 | WWW '06: Proceedings of the 15th international conference on World Wide Web | inproceedings | DOIURL |
Abstract: It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of click-through data logged by Web search engines, which record the interactions between users and the search engines. Most existing approaches employ the click-through data for similarity measure of queries with little consideration of the temporal factor, while the click-through data is often dynamic and contains rich temporal information. In this paper we present a new framework of time-dependent query semantic similarity model on exploiting the temporal characteristics of historical click-through data. The intuition is that more accurate semantic similarity values between queries can be obtained by taking into account the timestamps of the log data. With a set of user-defined calendar schema and calendar patterns, our time-dependent query similarity model is constructed using the marginalized kernel technique, which can exploit both explicit similarity and implicit semantics from the click-through data effectively. Experimental results on a large set of click-through data acquired from a commercial search engine show that our time-dependent query similarity model is more accurate than the existing approaches. Moreover, we observe that our time-dependent query similarity model can, to some extent, reflect real-world semantics such as real-world events that are happening over time. | |||||
BibTeX:
@inproceedings{1135858, author = {Zhao, Qiankun and Hoi, Steven C. H. and Liu, Tie-Yan and Bhowmick, Sourav S. and Lyu, Michael R. and Ma, Wei-Ying}, title = {Time-dependent semantic similarity measure of queries using historical click-through data}, booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web}, publisher = {ACM Press}, year = {2006}, pages = {543--552}, url = {http://portal.acm.org/citation.cfm?id=1135858}, doi = {http://doi.acm.org/10.1145/1135777.1135858} } |
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