{"id":358730,"date":"2017-01-27T08:09:35","date_gmt":"2017-01-27T16:09:35","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=358730"},"modified":"2018-10-16T21:05:19","modified_gmt":"2018-10-17T04:05:19","slug":"thu-trec-2002-web-track-experiments","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/thu-trec-2002-web-track-experiments\/","title":{"rendered":"THU TREC 2002: Web Track Experiments"},"content":{"rendered":"<p>Anchor text has been proofed efficient in former TREC experiments on homepage finding task[1]<br \/>\nand somewhat useful to ad hoc retrieval by result combination[2]. In this year, our conclusion was<br \/>\nconsistent with formers. Besides, the use of the URL and links inside the webpage were also<br \/>\nobserved. Again, results on training set are encouraging.<br \/>\nWe made an assumption that a key resource is more likely to link to multiple relevant documents.<br \/>\nThen the out-degree of the page and the similarities of the documents the page point to were used<br \/>\nas the two factors for key resource selection. Experimental results were quite good, showing their<br \/>\nability of finding key resource on one server.<br \/>\nTwo site uniting (SU) approaches have been studied to select proper pages as the representation of<br \/>\none server. (1) The document which has index characteristic and has a high enough similarity is<br \/>\nreserved as key resource. (2) Documents of the same server in result list are given different<br \/>\nreliability factor which is decaying by decreases of similarities. Both are useful for given<br \/>\nexamples (using as training set) in this year&#8217;s Web track, especially the latter one. Better results<br \/>\nwere got by combing SU approach and out-degree factor mentioned above to find key resource.<br \/>\nAll the experiments we performed were run on Okapi system. There are quite a few parameters to<br \/>\ntune, which affect the performance greatly. Therefore, we also proposed and implemented a<br \/>\ngenetic algorithm based dynamic parameter learning approach to all the tasks.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anchor text has been proofed efficient in former TREC experiments on homepage finding task[1] and somewhat useful to ad hoc retrieval by result combination[2]. In this year, our conclusion was consistent with formers. Besides, the use of the URL and links inside the webpage were also observed. Again, results on training set are encouraging. We [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"The Eleventh Text Retrieval Conference (TREC 2002)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"The Eleventh Text Retrieval Conference (TREC 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