ICTNET at Web Track 2012 adhoc Task
نویسندگان
چکیده
In this paper, we report our experiments at Ad-hoc task, Web Track 2012. In this year, we attempt to use new web parser with noise elimination. The Conditional Boolean BM25 was used as major ranking function. We also introduce Learning-To-Rank to combine multiple features together for ranking, but the performance was poor due to the low quality of training data.
منابع مشابه
ICTNET at Web Track 2012 Diversity Task
In this paper, we report our experiments at Diversity task, Web Track 2012. In this year, we attempt to use query expansion and topic model such as LDA [5] to get subtopics. And an model based on xQuAD [10] was used to re-rank the ad-hoc search results.
متن کاملICTNET at Web Track 2009 Diversity Track
We (ICTNET team) participated in Web Track of TREC2009, and in this paper, we summarize our work on Diversity task of Web Track, which is new in this year. The goal of the diversity task is to return a ranked list of pages that together provide complete coverage for a query, while avoiding excessive redundancy in the result list. For this task, we cluster the results of ad hoc task, and rerank ...
متن کاملICTNET at Web Track 2010 Diversity Task
In this paper, our team – “ICTNET”, participated in the diversity task of Web Track of TREC 2010. The full Category A dataset was used. The same settings as the ad-hoc task were adopted for retrieval. Different clustering methods which were then applied on different fields are elaborated. Query expansion techniques are presented next.
متن کاملOverview of the TREC 2010 Web Track
The TREC Web Track explores and evaluates Web retrieval technology over large collections of Web data. In its current incarnation, the Web Track has been active for two years. For TREC 2010, the track includes three tasks: 1) an adhoc retrieval task, 2) a diversity task, and 3) a spam task. As we did for TREC 2009, we based our experiments on the billion-page ClueWeb09 data set created by the L...
متن کاملICTNET at Web Track 2013
In this paper, we report our TREC experiments with both ad-hoc task and risk-sensitive task of Web Track 2013. The ClueWeb12 dataset and its derived data were used this year. We use BM25 model with term proximity, entity recognition and external resource to rank the final results. We submitted six runs which were not optimized for any particular metric.
متن کامل