In this paper, we show that we can use as few as two features to rerank a list of re- formulated queries, or expanded queries to be specific, gen- erated by a ...
In this paper, we show that we can use as few as two features to rerank a list of reformulated queries, or expanded queries to be specific, generated by a log- ...
Query reformulation techniques based on query logs have recently proven to be effective for web queries. However, when initial queries have reasonably good ...
In this article, we propose a ranking approach for producing effective query suggestions. In particular, we devise a structured representation of candidate ...
Jun 22, 2016 · In this paper, we investigate the possibility of interpreting query reformulation into effective relevance labels for query-card pairs. We ...
In this paper, we show that we can use as few as two features to rerank a list of reformulated queries, or expanded queries to be specific, generated by a log- ...
Jul 10, 2023 · Explicit query reformulation is a way for searchers to make more efficient progress on their search journey than paginating through long lists of ranked ...
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Learning to Rank is used to re-rank the top N retrieved documents using trained machine learning models.
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In this paper, we show that we can use as few as two features to rerank a list of reformulated queries, or expanded queries to be specific, generated by a log- ...