نتایج جستجو برای: keyword feedback

تعداد نتایج: 161716  

2016

Search strategy Notes: /su = subheading surgery TERM/ = Thesaurus term exp TERM/ = Thesaurus term exploded to include narrower terms tonsil* = keyword root. Will find all instances of the root with any number of letters following keyword ADJ keyword = one keyword ADJACENT to another in any order keyword ADJ2 keyword = one keyword within 2 terms of another in any order NB words such as if, but, ...

2016
Aggeliki Dimitriou Ananya Dass Dimitri Theodoratos Yannis Vassiliou

Keyword search is the most popular querying technique on semistructured data. Keyword queries are simple and convenient. However, as a consequence of their imprecision, there is usually a huge number of candidate results of which only very few match the user’s intent. Unfortunately, the existing semantics for keyword queries are ad-hoc and they generally fail to “guess” the user intent. Therefo...

Journal: :PVLDB 2010
Dong Xin Yeye He Venkatesh Ganti

Keyword search over entity databases (e.g., product, moviedatabases) is an important problem. Current techniques forkeyword search on databases may often return incompleteand imprecise results. On the one hand, they either requirethat relevant entities contain all (or most) of the query key-words, or that relevant entities and the query keywords oc-cur together in severa...

2007
ANDY DONG J ENRIQUE BARRETO ALICE M AGOGINO

Information retrieval (IR) systems interact with users by returning a ranked list of relevant documents in response to a query. Through feedback mechanisms such as relevance feedback and automated keyword expansion, IR systems attempt to guide users in constructing search queries which better represent their information needs. These mechanisms, however, do not offer the user more insight into t...

Journal: :journal of studies in learning and teaching english 0
elaheh khorshidi shiraz azad university ehsan rassaei shiraz azad university

this study aimed at investigating the effect of learners’ gender on their preferences for corrective feedback. learners’ prefer- ences which were investigated included the necessity, frequency, timing, type, method, and delivering agent of error treatment. to this end, a questionnaire was administered to a random sample of 100 participants (50 males and 50 females) studying english (efl) at shi...

Journal: :journal of advances in medical education and professionalism 0
leila bazrafkan esfahan university of medical sciences, esfahan, iran gholam hossain ghassemi esfahan university of medical sciences, esfahan, iran parisa nabeiei education development center, shiraz university of medical sciences, shiraz, iran

introduction: feedback is very important in education and can help quality in the training process and orient the trainees in clinical contexts. this study aimed to assess the residents’ points of view about feedback in clinical education at shiraz university of medical sciences. methods: the sample of this study included 170 medical residents attending medical workshops in shiraz university of...

Journal: :The Electronic Library 2010
Yu-Min Su PingYu Hsu Ning-Yao Pai

Purpose – The co-word analysis method is commonly used to cluster-related keywords into the same keyword domain. In other words, traditional co-word analysis cannot cluster the same keywords into more than one keyword domain, and disregards the multi-domain property of keywords. The purpose of this paper is to propose an innovative keyword co-citation approach called “Complete Keyword Pair (CKP...

2008
Eugene Santos Hien Nguyen

In this chapter, we study and present our results on the problem of employing a cognitive user model for Information Retrieval (IR) in which a user’s intent is captured and used for improving his/her effectiveness in an information seeking task. The user intent is captured by analyzing the commonality of the retrieved relevant documents. The effectiveness of our user model is evaluated with reg...

2003
Kiyohide Nakauchi Yuichi Ishikawa Hiroyuki Morikawa Tomonori Aoyama

Decentralized and unstructured peer-to-peer (P2P) networks such as Gnutella are attractive for Internet-scale information retrieval and search systems because they require neither any centralized directory nor any centralized management of overlay network topology and data placement. However, due to this decentralized architecture, current P2P keyword search systems lack useful global knowledge...

Journal: :Speech Communication 2009
Joseph Keshet David Grangier Samy Bengio

This paper proposes a new approach for keyword spotting, which is not based on HMMs. The proposed method employs a new discriminative learning procedure, in which the learning phase aims at maximizing the area under the ROC curve, as this quantity is the most common measure to evaluate keyword spotters. The keyword spotter we devise is based on nonlinearly mapping the input acoustic representat...

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