Task Trail: An Effective Segmentation of User Search Behavior
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Year
: 2014DOI: 10.1109/TKDE.2014.2316794
Keyword(s): Internet,data mining,query processing,search engines,URL clicks,Web page utilities,Web search log mining,atomic user information,click-through bipartite,commercial search engine,large scale data sets,query level,query reformulations,query suggestions,query terms,query trails,ranking functions,recommendation systems,session level,session trail,task identification problem,task trail,user satisfaction,user search behavior segmentation,user search interest prediction,Behavio
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Task Trail: An Effective Segmentation of User Search Behavior
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| contributor author | Zhen Liao | |
| contributor author | Yang Song | |
| contributor author | Yalou Huang | |
| contributor author | Li-wei He | |
| contributor author | Qi He | |
| date accessioned | 2020-03-12T23:57:45Z | |
| date available | 2020-03-12T23:57:45Z | |
| date issued | 2014 | |
| identifier issn | 1041-4347 | |
| identifier other | 6787020.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1129557 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Task Trail: An Effective Segmentation of User Search Behavior | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8309913 | |
| subject keywords | Internet | |
| subject keywords | data mining | |
| subject keywords | query processing | |
| subject keywords | search engines | |
| subject keywords | URL clicks | |
| subject keywords | Web page utilities | |
| subject keywords | Web search log mining | |
| subject keywords | atomic user information | |
| subject keywords | click-through bipartite | |
| subject keywords | commercial search engine | |
| subject keywords | large scale data sets | |
| subject keywords | query level | |
| subject keywords | query reformulations | |
| subject keywords | query suggestions | |
| subject keywords | query terms | |
| subject keywords | query trails | |
| subject keywords | ranking functions | |
| subject keywords | recommendation systems | |
| subject keywords | session level | |
| subject keywords | session trail | |
| subject keywords | task identification problem | |
| subject keywords | task trail | |
| subject keywords | user satisfaction | |
| subject keywords | user search behavior segmentation | |
| subject keywords | user search interest prediction | |
| subject keywords | Behavio | |
| identifier doi | 10.1109/TKDE.2014.2316794 | |
| journal title | Knowledge and Data Engineering, IEEE Transactions on | |
| journal volume | 26 | |
| journal issue | 12 | |
| filesize | 1467639 | |
| citations | 0 |