Time, relevance and interaction modelling for information retrieval

Public Transport Ontology for Passenger Information Retrieval

Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...

Inference of relevance for proactive information retrieval

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Antti Ajanki Name of the doctoral dissertation Inference of relevance for proactive information retrieval Publisher School of Science Unit Department of Information and Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 128/2013 Field of research Computer and Information Science Manuscript submi...

Neural Relevance Feedback for Information Retrieval

Relevance feedback is a technique used in interactive Information Retrieval (IR) systems to enable a user to provide additional information to help the system identify more relevant documents. The additional information is provided in the form of relevance judgements on retrieved documents. One of the most advanced relevance feedback technique in operative IR system is based on a probabilistic ...

Relevance Vector Ranking for Information Retrieval

In recent years, learning ranking function for information retrieval has drawn the attentions of the researchers from information retrieval and machine learning community. In existing approaches of learning to rank, the sparse prediction model only can be learned by support vector learning approach. However, the number of support vectors grows steeply with the size of the training data set. In ...

Reading Time, Scrolling and Interaction: Exploring Implicit Sources of User Preferences for Relevance Feedback During Interactive Information Retrieval