Unsupervised query segmentation using click data and dictionaries information

We describe results of experiments with an unsupervised framework for query segmentation, transforming keyword queries into structured queries. The resulting queries be used to more accurately search product databases, and potentially improve result presentation and query suggestion. The key to developing an accurate and scalable system for task is to train a query segmentation or attribute detection system over labeled data, which be acquired automatically from query and click-through logs. The main contribution of work is a improving method to automatically acquire such training data — resulting in significantly higher segmentation performance, compared to previously reported methods

Anticipating Information Needs Based on Check-in Activity

In this work we address the development of a smart personal assistant that is capable of anticipating a user's information needs based on a novel type of context: the person's activity inferred from her check-in records on a location-based social network. Our main contribution is a method that translates a check-in activity into an information need, which is in turn addressed with an appropriate information card. This task is challenging because of the large number of possible activities and related information needs, which need to be addressed in a mobile dashboard that is limited in size. Our approach considers each possible activity that might follow after the last (and already finished) activity, and selects the top information cards such that they maximize the likelihood of satisfying the user's information needs for all possible future scenarios. The proposed models also incorporate knowledge about the temporal dynamics of information needs. Using a combination of historical check-in data and manual assessments collected via crowdsourcing, we show experimentally the effectiveness of our approach.Comment: Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM '17), 201

Methodology of modern management of profit of sales of "intelligence - products" of high school

Исследуется проблема управления прибылью в процессе создания и реализации рынка образовательных услуг в Росси