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In this paper, we aim to improve query expansion for ad-hoc retrieval, by proposing a more fine-grained term reweighting process. This fine-grained process uses statistics from the representation of documents in various fields, such as their titles, the anchor text of their incoming links, and their body content. The contribution of this paper is twofold: First, we propose a novel query expansion mechanism on fields by combining field evidence available in a corpora. Second, we propose an adaptive query expansion mechanism that selects an appropriate collection resource, either the local collection, or a high-quality external resource, for query expansion on a per-query basis. The two proposed query expansion approaches are thoroughly evaluated using two standard Text Retrieval Conference (TREC) Web collections, namely the WT10G collection and the large-scale .GOV2 collection. From the experimental results, we observe a statistically significant improvement compared with the baselines. Moreover, we conclude that the adaptive query expansion mechanism is very effective when the external collection used is much larger than the local collection.  相似文献   

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随着生活节奏的提高,人们的健身场所逐渐由户外转移到户内,这就促进了室内健身器械产业的发展,如果在使用健身器材达到锻炼目的的同时,能将健身器械产生的能量收集再利用,则能形成一套具有互惠性的节能运动健身系统。中水回用可以将生活污水处理后用于厕所冲洗。结合俩者的优点与用途,针对家庭卫生间排水规律设计了一套中水回用装置,将卫生间内污染较轻的洗浴污水收集再处理作为冲厕水源,同时利用家庭跑步机为该装置提供能量,达到节约水源,能量再利用的目的。  相似文献   

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