This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ranking model is learned was provided by a large online newspaper. The personalized news search ranking model which we have developed takes into account not only document content and metadata, but also data specific to th...

In this paper, we describe our participation in the INEX 2014 Social Book Search(SBS) Track Suggestion Task. We investigate the contribution of user-generated data and construct a social book search system based on several important techniques. We perform re-ranking on Galago searching results on enriched XML index by 11 different strategies and combine the results with learning to rank. We fin...

We study the standard retrieval task of ranking a fixed set of documents given a previously unseen query and pose it as the half-transductive ranking problem. The task is partly transductive as the document set is fixed. Existing transductive approaches are natural non-linear methods for this set, but have no direct out-ofsample extension. Functional approaches, on the other hand, can be applie...

This paper presents our work on the 2015 CLEF eHealth Task 2. In particular, we propose a Web-based query expansion model and a learning-to-rank algorithm to better understand and satisfy the task.

Winter wheat freeze injury is one of the most serious damages in northern China. Timely and accurately monitoring freeze injury can provide quantitative damage assessment and decision support for after-injury field management. Freeze injury stress is directly related to the deviation of winter wheat population. This paper aimed to monitor the spatial-temporal distribution as well as the severit...

In this paper we present Taylor, a search engine designed to reduce the effort required by a user for the perusal of documents. This is accomplished by delivering document passages to the user, rather than a list of pointers to documents. We discussed our strategy, called extraction/gathering, where passages are extracted according to the query and the document structure, and gathered and deliv...

Search engines have played a very important role in helping the users to search the necessary information from the huge information. By displaying the list of links to documents.The Question-Answering systems are gaining popularity. Because The main benefit of such QA systems is that the user can ask the query (question) in natural language and he /she get a precise and appropriate answer inste...

Steady-state visual evoked potential (SSVEP)-based brain computer-interface (BCI) is one of the most popular BCI systems. An efficient SSVEP-based BCI system in shorter time with higher accuracy in recognizing SSVEP has been pursued by many studies. This paper introduces a novel multiway canonical correlation analysis (Multiway CCA) approach to recognize SSVEP. This approach is based on tensor ...

In the development of drugs intended for oral use, good drug absorption and appropriate drug delivery are very important. Now the predictions for drug absorption and oral bioavailability follow similar approach: calculate molecular descriptors for molecules and build the prediction models. This approach works well for the prediction of compounds which cross a cell membrane from a region of high...