This is the third year that we (ICT-CAS team) participated in the Enterprise Track of TREC. The track of this year includes two tasks, being document search task and expert search task. As to the document search task, we compare two retrieval models, namely BM25 model and language model. As to the expert search task, we focus on the authority of persons by exploring the persons’ recommendation ...

User-generated content on social websites such as Twitter is known to be an important source of real-time information on significant events as they occur, for example natural disasters. Our participation in the FIRE 2016 Microblog track, seeks to exploit WordNet as an external resource for synonym-based query expansion to support improved matching between search topics and the target Tweet coll...

Existing ranking schemes assume all term occurrences in a given document are of equal influence. Intuitively, terms occurring in some places should have a greater influence than those elsewhere. An occurrence in an abstract may be more important than an occurrence in the body text. Although this observation is not new, there remains the issue of finding good weights for each structure. Vector s...

This paper describes PKUICST’s entry into the TREC 2013 Microblog track. In this year of microblog track, we designed and conducted a series of experiments based on both our local crawled collection and the official track API. For runs with local crawled dataset, we exploited different retrieval models, such as TFIDF, Okapi BM25 and statistic language model and tuned optimal parameters for all ...

This paper describes the participation of Information Retrieval Lab(IRLAB) at DA-IICT Gandhinagar,India in Real-Time Summarization track TREC 2016. This year TREC RTS offered two tasks. In the first task, that is scenario A, our system will be monitoring continuous posts from Twitter public stream and push the relevant tweet for each interest profile to RTS evaluation broker. For the same, we h...

We use the formal language LOTOS to specify and verify the robustness of the Equicrypt protocol under design in the European OKAPI project for conditional access to multimedia services. We state some desired security properties and formalize them. We describe a generic intruder process and its modelling, and show that some properties are falsified in the presence of this intruder. The diagnosti...

2 Mercure model Mercure is an information retrieval system based on a connexionist approach and modeled by a multi-layered network. The network is composed of a query layer (set of query terms), a term layer (representing the indexing terms) and a document layer [Boughanem99]. Mercure includes the implementation of a retrieval process based on spreading activation forward and backward through t...

The Dublin City University participation in the CLEF 2006 CL-SR task concentrated on exploring the combination of the multiple fields associated with the documents. This was based on use of the extended BM25F field combination model originally developed for multi-field text documents. Additionally, we again conducted runs with our existing information retrieval methods based on the Okapi model....

We participated in Web retrieval tasks in order to investigate the integration of multiple retrieval results. We also examined the possibility of using a general retrieval system designed for organized documents, such as news articles that match users’ queries, to retrieve unorganized documents, such as Web documents. Our results show that if information retrieval systems use the OKAPI method, ...

This is the first year for the Centre for Interactive Systems Research participation of INEX. Based on a newly developed XML indexing and retrieval system on Okapi, we extend Robertson’s field-weighted BM25F for document retrieval to element level retrieval function BM25E. In this paper, we introduce this new function and our experimental method in detail, and then show how we tuned weights for...