Titlebook: Information Retrieval Technology; 6th Asia Information Pu-Jen Cheng,Min-Yen Kan,Preslav Nakov Conference proceedings 2010 Springer Berlin H

中間時期

書目名稱Information Retrieval Technology影響因子(影響力)




書目名稱Information Retrieval Technology影響因子(影響力)學(xué)科排名




書目名稱Information Retrieval Technology網(wǎng)絡(luò)公開度




書目名稱Information Retrieval Technology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Information Retrieval Technology被引頻次




書目名稱Information Retrieval Technology被引頻次學(xué)科排名




書目名稱Information Retrieval Technology年度引用




書目名稱Information Retrieval Technology年度引用學(xué)科排名




書目名稱Information Retrieval Technology讀者反饋




書目名稱Information Retrieval Technology讀者反饋學(xué)科排名

macabre

Relevance Model Revisited: With Multiple Document Representations17.6% under rigid relevance judgment. In the second task, we established a ranking scheme in a faceted search session to sort the facets based on their corresponding relevance to the query. The result showed that our approach improved the baseline performance by roughly 100% in terms of MAP.

昏睡中

打擊

Advanced Training Set Construction for Retrieval in Historic Documentss the most frequent rules. Experimental results with German and English texts from different centuries demonstrate the feasibility of our approach. Thus a training set can be constructed with much less initial effort.

Exposition

招人嫉妒

PAD416

陳腐思想

Mining YouTube to Discover Extremist Videos, Users and Hidden Communitiesta and hidden social networks which has implications in understanding extremism on Internet. We take a case study based approach and perform empirical validation of the proposed hypothesis. Our approach succeeded in finding hate videos which were validated manually.

packet

任意

Investigating Characteristics of Non-click Behavior Using Query Logs-click behavior. There are significant differences between post-query actions of clicked and non-clicked queries. Users’ personal preference can also results in non-click behavior. Our findings have implications for separating queries which are handled well or not by search engines and are useful in user behavior reliability study.