Titlebook: Information Retrieval Technology; 10th Asia Informatio Azizah Jaafar,Nazlena Mohamad Ali,Tengku Mohd Teng Conference proceedings 2014 Sprin

Indebted

Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferencesevaluation studies, such as Kendall’s ., Discriminative Power, and the Intuitiveness Test. These methods have been widely adopted and have aided us in gaining much insight into the effectiveness of evaluation metrics. However, they also follow certain types of user behaviors or statistical assumptio

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神秘

Is the First Query the Most Important: An Evaluation of Query Aggregation Schemes in Session Searchnd combines multiple queries for session search. Prior research has demonstrated that query aggregation is an effective technique for session search. Consequently, how to effectively weight queries in a session becomes an interesting problem. This paper evaluates various query aggregation schemes an

Evolve

A Comparative Evaluation of 2D And 3D Visual Exploration of Document Search Resultse following two research questions: what method is most robust in terms of the success rate? And, what method is faster in terms of average search time? The obtained results show that, although successful rates and subject preferences are higher for 3D search and visualization, search times are stil

CRUC

Multi-resolution Shape-Based Image Retrieval Using Ridgelet Transform very little exposure in describing shapes for Content-based Image Retrieval (CBIR). Many of the existing Ridgelet transforms are only applied on images of size .×.. For .×. sized images, they need to be segmented into .×. sub-images prior to processing. A different number of orientations and cut-of

駕駛

Characteristics Classification of Durian Varieties Images for Knowledge Representation by Using Conc. With hundreds of durian varieties, it will be a challenging task to differentiate the images of this crop. Furthermore, with the existing of semantic gap, the current search engine unable to retrieve only the relevant varieties images to the user. Hence, applying semantic technology became the cru

山羊

Integrating Semantic Term Relations into Information Retrieval Systems Based on Language Modelsquery. The term mismatch problem appears when users and documents’ authors use different terms to express the same meaning. Statistical translation models are proposed as an effective way to adapt language models in order to mitigate term mismatch problem by exploiting semantic relations between ter

Concerto

Towards Risk-Aware Resource Selectiont. This task is known as resource selection and is used in many areas of information retrieval such as federated and aggregated search, blog distillation, etc. Resource selection often operates with limited and incomplete data and, therefore, is associated with a certain risk of selecting non-releva

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