In this paper, we propose a novel framework which can fuse multiple user selected features in different direct volume rendered images into a comprehensive image according to users’ preference. The framework relies on three techniques, i.e., user voting, genetic algorithm, and image similarity. In this framework, we transform the fusing problem to an optimization problem with a novel energy func...

The symmetric EM algorithm is proposed for probabilistic latent semantic analysis in collaborative filtering. The algorithm allows to reveal the latent interest profiles of both users and items, then to easily construct high-quality similarity measures of all required types: user–user, item–item, and item–user. The advantage of the proposed approach is that different profiles are consistent to ...

Recently the notion of self-similarity has been shown to apply to wide-area and local-area network traffic. In this paper we examine the mechanisms that give rise to self-similar network traffic. We present an explanation for traffic self-similarity by using a particular subset of wide area traffic: traffic due to the World Wide Web (WWW). Using an extensive set of traces of actual user executi...

Purpose Through the lens of self-perception theory, this paper investigates how avatar design (i.e. user similarity) affects users' self-awareness and shapes their task engagement performance in Metaverse. Design/methodology/approach The authors conducted a 2 (avatar similarity: high vs low) × (task type: procedural creative) lab experiment collected data from questionnaires, recording behavior...

In on-demand map generation, a base-map is modified to meet the user requirements on scale, resolution, and other parameters. Since there are many ways of satisfying the requirement, we need a method of measuring the quality of the alternative maps. In this paper, we introduce a uniform framework for measuring the quality of generalized maps. The proposed Map Quality measure takes into account ...

Personalised tag recommenders are becoming increasingly important since they are useful for many document management applications including social bookmarking websites. This paper presents a novel approach to the problem of suggesting personalised tags for a new document to the user. Document similarity in combination with a user similarity measure is used to recommend personalised tags. In cas...

In this paper we present RAMA (Relational Artist MAps), a simple yet efficient interface to navigate through networks of music artists. RAMA is built upon a dataset of artist similarity and user-defined tags regarding 583.000 artists gathered from Last.fm. This third-party, publicly available, data about artists similarity and artists tags is used to produce a visualization of artists relations...

In many social communities, it is increasingly popular for people to seek useful information or resources from reliable peers (i.e., folks). In this regard, folk recommendation is no less important than other types of recommendation such as book recommendation, movie advertisement, etc. In this paper, we focus on incorporating user similarity (in terms of interest similarity and social proximit...

Peer-to-Peer (p2p) networks are an invaluable resource for various multimedia information retrieval (MIR) tasks, such as user and song similarity, recommendation and trend prediction, mainly due to their size and ability to capture user preferences. This paper presents a study performed on musical content collected from the a large scale p2p network. Using the song files shared by users in the ...