Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

This paper reports our efforts to address the grand challenge of the Digital Earth vision in
terms of intelligent data discovery from vast quantities of geo-referenced data. We propose …

Enterprise Social Software refers to open and flexible organizational systems and tools
which utilize Web 2.0 technologies to stimulate participation through informal interactions. A …

Customer preference learning and recommendation for (e-) commerce is a widely
researched problem where a number of different solutions have been proposed. In this study …

It has been shown that the use of topic models for Information retrieval provides an increase
in precision when used in the appropriate form. Latent Dirichlet Allocation (LDA) is a …

In recent years, finding the most relevant documents or search results in a search engine
has become an important issue. Most previous research has focused on expanding the …

Outlier detection is an important process for text document collections, but as the collection
grows, the detection process becomes a computationally expensive task. Random …

Probabilistic latent semantic analysis (PLSA) is considered an effective technique for
information retrieval, but has one notable drawback: its dramatic consumption of computing …

Information retrieval is the methods of retrieving all the relevant information from a large
collection of information. We will focus on the performance of the different information …

Purpose–Term suggestion is a very useful information retrieval technique that tries to
suggest relevant terms for users' queries, to help advertisers find more appropriate terms …