排序方式： 共有245条查询结果，搜索用时 390 毫秒
111.
Jun Wang Stephen Robertson Arjen P. de Vries Marcel J. T. Reinders 《Information Retrieval》2008,11(6):477-497
Collaborative filtering is concerned with making recommendations about items to users. Most formulations of the problem are
specifically designed for predicting user ratings, assuming past data of explicit user ratings is available. However, in practice
we may only have implicit evidence of user preference; and furthermore, a better view of the task is of generating a top-N
list of items that the user is most likely to like. In this regard, we argue that collaborative filtering can be directly
cast as a relevance ranking problem. We begin with the classic Probability Ranking Principle of information retrieval, proposing a probabilistic
item ranking framework. In the framework, we derive two different ranking models, showing that despite their common origin,
different factorizations reflect two distinctive ways to approach item ranking. For the model estimations, we limit our discussions
to implicit user preference data, and adopt an approximation method introduced in the classic text retrieval model (i.e. the
Okapi BM25 formula) to effectively decouple frequency counts and presence/absence counts in the preference data. Furthermore,
we extend the basic formula by proposing the Bayesian inference to estimate the probability of relevance (and non-relevance),
which largely alleviates the data sparsity problem. Apart from a theoretical contribution, our experiments on real data sets
demonstrate that the proposed methods perform significantly better than other strong baselines.
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| Marcel J. T. ReindersEmail: |
112.
Over the last three decades, research in Information Retrieval (IR) shows performance improvement when many sources of evidence
are combined to produce a ranking of documents. Most current approaches assess document relevance by computing a single score
which aggregates values of some attributes or criteria. They use analytic aggregation operators which either lead to a loss
of valuable information, e.g., the min or lexicographic operators, or allow very bad scores on some criteria to be compensated
with good ones, e.g., the weighted sum operator. Moreover, all these approaches do not handle imprecision of criterion scores.
In this paper, we propose a multiple criteria framework using a new aggregation mechanism based on decision rules identifying
positive and negative reasons for judging whether a document should get a better ranking than another. The resulting procedure
also handles imprecision in criteria design. Experimental results are reported showing that the suggested method performs
better than standard aggregation operators. 相似文献
113.
黄清贵 《福建师大福清分校学报》2003,(4):54-57
与基础英语口语的课堂教学相比，专业英语口语课堂教学有其自身的特点。课堂组织教学难度较大，不易取得师生互动效果。为此，把关联理论引进其课堂教学实践，具有很强的可行性和实用性。 相似文献
114.
方伟琴 《雁北师范学院学报》2004,20(3):87-89
听力不只是一种接受行为,它也包括心理和认知过程。听力理解过程是听者和说话人互动的过程。听力理解的最终目的是要获得话语的隐含意义。而Sperber和Wilson提出的关联理论将认知和语用结合起来,解释了话语的理解过程,显示出较强的解释力。本文试图在关联理论框架下探讨听力过程中如何获得话语的正确理解。 相似文献
115.
王远 《咸阳师范学院学报》2006,21(4):92-94
运用关联翻译理论对马致远的小令《天净沙.秋思》三种译文进行比较与分析后可知,关联翻译理论中的认知环境、交际意图及最佳关联性等概念在诗歌翻译评论中具有其他译法所难以比拟的优势。 相似文献
116.
李冬梅 《广西师范大学学报(哲学社会科学版)》2002,(Z2)
交互式听力理解的过程包括释义和应答两个部分。释义过程的实质是听者运用头脑中原有的信息与听到的新信息共同组成前提进行推理的过程 ;应答的过程是礼貌的需要 ,同时也是促使交际进行下去的必不可少的部分。通过对交互式听力理解的过程解释 ,文章指出了在外语教学中讲授学习策略的重要性 ,并提出了主题式听力教学和讨论式的课堂教学模式 相似文献
117.
个性化信息检索中的相关反馈技术研究 总被引：3，自引：0，他引：3
简要介绍了相关反馈的研究现状及基本思想,在深入分析相关反馈的实现策略和在不同系统中设计的差别后,提出了相关反馈技术和个性化信息检索结合的模型,最后讨论引入数据融合的思想来进一步改善反馈效果。 相似文献
118.
Rocchio relevance feedback and latent semantic indexing (LSI) are well-known extensions of the vector space model for information retrieval (IR). This paper analyzes the statistical relationship between these extensions. The analysis focuses on each method’s basis in least-squares optimization. Noting that LSI and Rocchio relevance feedback both alter the vector space model in a way that is in some sense least-squares optimal, we ask: what is the relationship between LSI’s and Rocchio’s notions of optimality? What does this relationship imply for IR? Using an analytical approach, we argue that Rocchio relevance feedback is optimal if we understand retrieval as a simplified classification problem. On the other hand, LSI’s motivation comes to the fore if we understand it as a biased regression technique, where projection onto a low-dimensional orthogonal subspace of the documents reduces model variance. 相似文献
119.
王惠霞 《牡丹江教育学院学报》2012,(2):34-35
以英语幽默言语为例,从幽默发出者和听众两个角度分析幽默言语产生和理解的认知语用理论基础。研究表明,关联理论是贯穿幽默言语交际过程、保证幽默言语效果的语用基石。认知模型和概念合成理论则分别为幽默言语的产生和理解提供了认知理据。 相似文献
120.
哥特式电影不仅仅渲染恐怖和神秘色彩,它有着对社会和复杂人性深度的剖析与思考,其表现力往往要超越一般的艺术表现形式。从语言学习角度来看,尤其对于字幕翻译者或者当代大学生来说更是一个挑战和促进。分析从关联理论的角度出发,归纳了哥特式电影字幕的翻译策略,并将经典影片《小岛惊魂》作为个案进行分析。结论表明关联理论对该类型影片字幕翻译有着很强的解释力,为了实现跨文化影片预期的交际效果,字幕翻译应该以最佳关联原则为指导,呈现给观众最佳的关联效果,搭建哥特式影片与观众心理沟通的桥梁。 相似文献