Information retrieval is the most common objective of internet users. For a given query, existing search engines will return a long list of search results ranked by their relevance to the given query. In most of the existing search engines, Page Rank algorithm is used to find the relevance of the documents to the given query. The problem with this method is that it considers only the incoming a...

This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropriately location-tagged from social media. By analyzing spatial distributions of text tags from Flickr’s geotagged photos, we identify thousands of tags that likely refer to landmarks. Further verification by utilizing...

In a tag-based recommender system, the multi-dimensional correlation should be modeled effectively for finding quality recommendations. Recently, few researchers have used tensor models in recommendation to represent and analyze latent relationships inherent in multidimensions data. A common approach is to build the tensor model, decompose it and, then, directly use the recons...

With the rapid development of online Knowledge Sharing Communities (KSCs), the problem of finding experts becomes increasingly important for knowledge propagation and putting crowd wisdom to work. A recent development trend of KSCs is to allow users to add text tags for annotating their posts, which are more accurate than traditional category information. However, how to leverage these user-gen...

We present a system for automatic music annotation that leverages temporal (e.g., rhythmical) aspects as well as timbral content. Our system estimates a dynamic texture mixture (DTM) density over times series of acoustic features (instead of on individual features) for each tag in a semantic vocabulary. When analyzing a new song, our system processes the time series of acoustic features of the ...

Wikipedia is a useful knowledge source that benefits many applications in language processing and knowledge representation. An important feature of Wikipedia is that of categories. Wikipedia pages are assigned different categories according to their contents as human-annotated labels which can be used in information retrieval, ad hoc search improvements, entity ranking and tag recommendations. ...

In recent years, organizing social media by social event has drawn increasing attentions with the increasing amounts of rich-media content taken during an event. In this paper, we address the social event enrichment and summarization problem and propose a demonstration system ESGM to summarize the event with relevant media selected from a large-scale user contributed media dataset. In the propo...

Visual search re-ranking defined as re-ordering visual documents like image, videos etc. based on the initial search. Ranking the multimedia content like images, videos are a challenging research topic in the noisy visual environment. Now days, leading search engines are fully depends on the description, title, surrounding information of an image which produce irrelevant image which are not equ...

purpose: this paper aims to evaluate the performance of two public search ensiges, including yahoo and google in terms of their indexing coverage and the effectiveness of metadata elements on web page ranking. method: the effectiveness of the five metadata elements including html title tag, html keywords and description meta-tags, title and subject metadata elements from dublin core, which focu...