YJST at the NTCIR-12 IMine-2 Task
نویسندگان
چکیده
Yahoo Japan Search Technology (YJST) team participated in the Query Understanding subtask of NTCIR-12 IMine-2. We explored various search log mining techniques to discover subtopics against the given original topics. For Vertical Identification, we trained a Gradient Boosted Decision Tree (GBDT) learner to identify a vertical label to each subtopic using several complex features including topical probabilities based on random walks on click graphs, and query distribution analyses through several commercial vertical search services and so on. Our best official submission run of subtopic mining achieves higher D#-nDCG@10 score than the average, but below the median of the best runs of all the participating team. In other measures such as QU-score or V-score, our best result performed as poorly as below the median. Although our task campaign was clearly not successful enough to confirm the adequacy of our service solutions, we try to analyze the results and the data as failure analyses are the only way to make a progress towards the future.
منابع مشابه
IRCE at the NTCIR-12 IMine-2 Task
The IRCE team participated in the IMine-2 task at the NTCIR-12 workshop. We submitted one Chinese language run and five Japanese language runs for the Query Understanding subtask. Our methods exploited online text corpora BaiduPedia for the Chinese language run and Japanese Wikipedia for the Japanese language runs. The approaches employed in the Chinese and Japanese language topics are differed...
متن کاملOverview of the NTCIR-12 IMine-2 Task
In this paper, we provide an overview of the NTCIR-12 IMine-2 task, which is a core task of NTCIR-12 and also a succeeding work of IMine@NTCIR-11, INTENT-2@NTCIR-10, and INTENT@NTCIR-9 tasks. IMine-2 comprises the Query Understanding subtask and the Vertical Incorporating subtask. 23 groups from diverse countries including China, France, India, Portugal, Ireland, and Japan registered to the tas...
متن کاملYJST at the NTCIR-12 MobileClick-2 Task
Yahoo Japan Search Technology(YJST) team participated in the Japanese iUnit Ranking and Summarization subtasks of NTCIR-12 MobileClick-2. For the iUnit Ranking subtask, we adopted LM-based approach, which is implemented on the basis of organizers’ baseline system. We examined language model based iUnit ranking using both KL-divergence and negative cross entropy with several model smoothing meth...
متن کاملKDEIM at NTCIR-12 IMine-2 Search Intent Mining Task: Query Understanding through Diversified Ranking of Subtopics
In this paper, we describe our participation in the Query Understanding subtask of the NTCIR-12 IMINE Task. We propose a method that extracts subtopics by leveraging the query suggestions from search engines. The importance of the subtopics with the query is estimated by exploiting multiple query-dependent and query-independent features with supervised feature selection. To diversify the subtop...
متن کاملRUCIR at NTCIR-12 IMINE-2 Task
In this paper, we present our participation in the Query Understanding subtask and the Vertical Incorporating subtask of the NTCIR-12 IMine-2 task, for both English and Chinese topics. In the Query Understanding subtask, we combine the extracted candidates from search engine suggestions and Wikipeida, and classify their verticals after clustering and ranking them. In the Vertical Incorporating ...
متن کامل