We describe our participation in the subtopic mining and document ranking subtasks of the NTCIR-9 Intent task, for both Chinese and Japanese languages. In the subtopic mining subtask, we experiment with a novel data-driven approach for ranking reformulations of an ambiguous query. In the document ranking subtask, we deploy our state-ofthe-art xQuAD framework for search result diversification.

In this paper we focus on estimating the post-click engagement on native ads by predicting the dwell time on the corresponding ad landing pages. To infer relationships between feature of the ads and dwell time we resort to the application of survival analysis techniques, which allow us to estimate the distribution of the length of time that the user will spend on the ad. This information is the...

The Spohnian paradigm of ranking functions is in many respects like an order-of-magnitude reverse of subjective probability theory. Unlike probabilities, however, ranking functions are only indirectly—via a pointwise ranking function on the underlying set of possibilities W—defined on a field of propositions A over W . This research note shows under which conditions ranking functions on a field...

Many previous research studies on extractive text summarization consider a subset of words in a document as keywords and use a sentence ranking function that ranks sentences based on their similarities with the list of extracted keywords. But the use of key concepts in automatic text summarization task has received less attention in literature on summarization. The proposed work uses key concep...

Correlations of stocks in time have been widely studied. Both the Random Matrix Theory approach and the graphical visualisation of so-called Minimum Spanning Trees show the clustering of stocks according to industrial sectors. Studying the correlation between stocks traded in markets of different countries we show that the Random Matrix Theory approach is able to separate stocks according to th...

Distributions over rankings are used to model data in various settings such as preference analysis and political elections. The factorial size of the space of rankings, however, typically forces one to make structural assumptions, such as smoothness, sparsity, or probabilistic independence about these underlying distributions. We approach the modeling problem from the computational principle th...

based on the extent and depth of the market, several investment tools exist. one of the most fundamental issues in investment is assets liquidity, because some of the investors may need their investment financial resources immediately. also, liquidity degree of stocks greatly depends on the volume of trades in stock exchange. in this research, the relationship between stocks turnover rate as li...