Image re-ranking, is an effective way to improve the results of web-based image search and has been adopted by current commercial search engines such as Bing and Google. When a query keyword is given, a list of images are first retrieved based on textual information given by the user. By asking the user to select a query image from the pool of images, the remaining images are re-ranked based on...

There is a large amount of textual data on the Web and in Wikipedia, where mentions of entities (such as Gandhi) are annotated with a link to the disambiguated entity (such as M. K. Gandhi). Such annotation may have been done manually (as in Wikipedia) or can be done using named entity recognition/disambiguation techniques. Such an annotated corpus allows queries to return entities, instead of ...

The added-value of search engines is, apparently, undoubted. Their rapid evolution over the last decade has transformed them into the most important source of information and knowledge. From the end user side, search engine success implies correct results in fast and accurate manner, while also ranking of search results on a given query has to be directly correlated to the user anticipated resp...

This paper looks into a new direction in movie clips analysis –model based ranking of highlight level. A movie clip, containing a short story, is composed of several continuous shots, which is much simpler than the whole movie. As a result, clip based analysis provides a feasible way for movie analysis and interpretation. In this paper, clip-based ranking of highlight level is proposed, where t...

We consider collaborative tagging systems where users can attach tags to information objects. Such systems are widely used to add keywords meta-data to photos, videos, or web pages (social bookmarking applications). The meta-data is then used by information retrieval mechanism to provide accurate query answers. To that end, the goal of collaborative tagging systems is to quickly discover the tr...

The purpose of this study is to establish a decision model of search engine ranking for providing administrators to improve the performances of websites for satisfying the needs of users. To probe into the interrelationship and influential weights among criteria of SEO, and evaluate gaps to achieve the aspiration level of implementation in real world, this research utilizes a new hybrid MCDM mo...

There are millions of apps are available in market for the application of mobile users. However, all the mobile users first prefer high ranked apps when downloading it. But we cannot guarantee the reliability for the downloaded application since there is increasing number of ranking frauds. Ranking fraud in the mobile App market refers to fraudulent or deceptive activities which have a purpose ...