Keyword3 generation for search engine advertising is an important problem for sponsored search or paidplacement advertising. A recent strategy in this area is bidding on nonobvious yet relevant words, which are economically more viable. Targeting many ...

Image retrieval has found more and more applications. Due to the well recognized semantic gap problem, the accuracy and the recall of image similarity search are often still low. As an effective method to improve the quality of image retrieval, the relevance ...

In recent years, indexing, classification, clustering, and anomaly detection of time series data have become topics of great interest within the database/data mining community; within those data mining applications, the measurement of similarity between ...

Chemoinformatics is the generic name for the techniques used to represent, store and process information about the two-dimensional (2D) and three-dimensional (3D) structures of chemical molecules [1, 2]. Chemoinformatics has attracted much recent prominence ...

User preferences acquisition plays a very important role for recommender systems. In a previous paper, we proposed a critique-based mobile recommendation methodology exploiting both long-term and session-specific user preferences. In this paper, we evaluate ...

In this paper, we present three taxonomic classification schemes based on Web users' responses to what Web activities significantly impacted their decisions and actions. The taxonomic classifications focus on three variables: the Purpose of people's ...

With our increasing ability to capture or produce and to store large multivariate data, these data sets are increasing both in size and complexity. Many conventional techniques for visualizing multivariate data suffer from problems likecluttered displays ...

The concept of relevance has been heatedly debated in last decade. Not satisfied with the narrow and technical definition of system relevance, researchers turn to the subjective and situational aspect of this concept. How does a user perceive a document ...

The JUBILEE project (JISC User Behaviour in Information Seeking: Longitudinal Evaluation of EIS) was set up at the University of Northumbria in response to a Joint Information Systems Committee (JISC) call for a qualitative longitudinal monitoring of ...

This paper describes an experiment in which seven relevance feedback document retrieval techniques are compared. It is shown that for the set of parameters and indexed document collection used, two of the techniques performed worse than the initial queries ...

A novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary classifier for each keyword, our keyword model is constructed in a straight ...

The most promising feature of the Web services platform is its ability to form new services by combining the capabilities of existing services, i.e., its composability. The existing services may themselves be composed of other services, leading to a ...

In numerous applications that deal with similarity search, a user may not have an exact idea of his information need and/or may not be able to construct a query that exactly captures his notion of similarity. A promising approach to mitigate this problem ...

In this paper we present a semantic image retrieval system with integrated feedback mechanism. In our system, we propose a novel feedback solution for semantic retrieval: semantic feedback, which allows our system to interact with users directly ...

Periodic web personalization aims to recommend the most relevant resources to a user during a specific time period by analyzing the periodic access patterns of the user from web usage logs. In this paper, we propose a novel web usage mining approach ...

The requirement of a web Crawler that downloadsmost relevant pages is still a major challenge in the fieldof Information Retrieval Systems. The use of link analysisalgorithms like page rank and other Importance-metricshave shed a new approach in prioritizing ...

In the recent past, a considerable research has been devoted to trust and reputation mechanisms to simplify complex transactions for open environments in social networking, e-commerce, and recommender systems (RS). In real life, we come to know about ...

We compare support vector machines (SVMs) to Rocchio, Ide regular and Ide dec-hi algorithms in information retrieval (IR) of text documents using relevancy feedback. It is assumed a preliminary search finds a set of documents that the user marks as relevant ...

Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose the first approach to detect events from the click-through data, ...