When searching tweets, users may know something about the temporal characteristics of the information they’re after. For example, based on external knowledge, a searcher might prefer more recent results or results within a particular time interval. However, most search applications do not allow the user to explicitly supply this information, and neither do most retrieval models have a mechanism...

We used the same Indri index of ClueWeb09 that we built and used for last year’s TREC submissions [1]. All of our queries use the Indri query language. When we did not use feedback, we used a simple keyword query, resulting in scoring by a Dirichlet-smoothed language model. When we did use feedback, we used a weighted combination of the original query and weighted expansion terms derived from t...

We use a retrieval system with search result clustering to tackle the NTCIR-5 WEB Query Term Expansion Subtask. The system clusters the search results in such a way as to make it easier for the user to select relevant documents as feedback documents. In addition, we select phrase words or named entities(NE) as query-expansion keywords from the feedback documents because these words tend to repr...

DR.V.CYRIL RAJ 2 HOD & PROFESSOR DEPARTMENT OF COMPUTER SCIENCE, DR.M.G.R. UNIVERSITY [email protected] ABSTRACT The main goal of this research is to build an enhanced learning environment for e-learner using the cognitive architecture ACT-R(Adaptive Control of Thought—Rational) [7,8]. This proposed new intelligent learning environment is applied to manage and monitor the dynamic behavior of...

In this paper, a case-based reasoner uses International Classification of Functioning, Disability, and Health framework of WHO (ICF codes) and medical expressions to create keyword association profiles. Dementia Case-based Learning Assistant System (DePicT Dementia CLASS) finds significant references and learning materials by utilizing the profile of word association strengths according to the ...

The problem of scaling up data integration, such that new sources can be quickly utilized as they are discovered, remains elusive: global schemas for integrated data are difficult to develop and expand, and schema and record matching techniques are limited by the fact that data and metadata are often under-specified and must be disambiguated by data experts. One promising approach is to avoid u...

This paper describes the experiments conducted in the ad-hoc retrieval task of the Genomic track at TREC 2004. Different query expansion techniques based on the addition of keyword stems and of genomic product symbols selected by relevance feedback were studied. Stemming was tested using a mutual reinforcement process for building a domain-specific stemmer. Relevance feedback was tested using a...

With the increasing popularity of a E-mail users, E-mail spam problem growing proportionally. Spam filtering with near duplicate matching scheme is widely discussed in recent years. It is based on a known spam database formed by user feedback which cannot fully catch the evolving nature of spam and also it requires much storage. In view of above drawbacks, we proposed an effective spam detectio...

With fast development in e-learning, assessment plays an important role between teaching and learning. A good e-learning system is not only with good teaching strategy and better learning resources but also proper assessment model. In this paper, we proposed an assessment meta-data and assessment analysis feedback for recently e-learning environments. There are several proper feedback for teach...