Japanese Abbreviation Expansion with Query and Clickthrough Logs

Japanese Abbreviation Expansion with Query and Clickthrough Logs
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发表时间:
2011-11
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通讯作者:
Kei Uchiumi;Mamoru Komachi;Keigo Machinaga;Toshiyuki Maezawa;Toshinori Satou;Yoshinori Kobayashi
Kei Uchiumi;Mamoru Komachi;Keigo Machinaga;Toshiyuki Maezawa;Toshinori Satou;Yoshinori Kobayashi
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作者:
Kei Uchiumi;Mamoru Komachi;Keigo Machinaga;Toshiyuki Maezawa;Toshinori Satou;Yoshinori Kobayashi

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已经开发了一种新的重新排序方法来精炼网络搜索查询。在点击链接图上应用了标签传播算法,并使用查询语言模型对候选对象进行了重新排序。我们的方法首先列举与给定查询相关的具有共同登录页面的查询候选,以创建点击链接图。其次,它使用从网络搜索查询日志生成的语言模型来计算候选人的可能性。最后,根据根据似然和标签传播计算出的分数对候选进行排序。结果,在不使用手工制作的训练数据的情况下,在日语缩略语扩展任务中实现了高精度和覆盖率。
A novel reranking method has been developed to refine web search queries. A label propagation algorithm was applied on a clickthrough graph, and the candidates were reranked using a query language model. Our method first enumerates query candidates with common landing pages with regard to the given query to create a clickthrough graph. Second, it calculates the likelihood of the candidates, using a language model generated from web search query logs. Finally, the candidates are sorted by the score calculated from the likelihood and label propagation. As a result, high precision and coverage were achieved in the task of Japanese abbreviation expansion, without using handcrafted training data.