• Publications
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On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided annotations and implicit aggregated feedback describing the personal preferences. Expand
Building a large-scale corpus for evaluating event detection on twitter
We propose a methodology for the creation of an event detection corpus that covers a period of 4 weeks and contains over 120 million tweets, which we make available for research. Expand
Personalizing Web Search with Folksonomy-Based User and Document Profiles
We propose to represent a user profile in terms of social tags, manually provided by users in folksonomy systems to describe, categorize and organize items of interest, and investigate a number of novel techniques that exploit the users’ social tags to re-rank results obtained with a Web search engine. Expand
A task-oriented study on the influencing effects of query-biased summarisation in web searching
A fuel injection pump comprises a housing a pump assembly mounted within the housing and an annular armature slidable within a bore defined in the housing. Expand
Text segmentation via topic modeling: an analytical study
A new approach for text segmentation is proposed in this paper which builds upon latent Dirichlet allocation (LDA) topic model to segment a text into semantically coherent segments. Expand
A Simple Convolutional Generative Network for Next Item Recommendation
We introduce a simple, but very effective generative model that is capable of learning high-level representation from both short- and long-range item dependencies. Expand
Recent and robust query auto-completion
Query auto-completion (QAC) is a common interactive feature that assists users in formulating queries by providing completion suggestions as they type. Expand
Real-Time Entity-Based Event Detection for Twitter
We use a clustering technique which partitions documents based upon the entities they contain, burst detection and cluster selection techniques to extract clusters related to on-going real-world events. Expand
"Nobody comes here anymore, it's too crowded"; Predicting Image Popularity on Flickr
We introduce 16 features to classify image popularity based on the number of comments and views an image has based on a number of new features for this propose. Expand
An adaptive technique for content-based image retrieval
We discuss an adaptive approach towards Content-Based Image Retrieval. It is based on the Ostensive Model of developing information needs—a special kind of relevance feedback model that learns fromExpand