We present an extension of the Dynamics Based Control (DBC) paradigm to environment models based on Predictive State Representations (PSRs). We show an approximate greedy version of the DBC for PSR model, EMT-PSR, and demonstrate how this algorithm can be applied to solve several control problems. We then provide some classifications and requirements of PSR environment models that are necessary...

Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...

The database community has long recognized the importance of graphical query interface to the usability of data management systems. Yet, relatively less has been done. We present Orion, a visual interface for querying ultra-heterogeneous graphs. It iteratively assists users in query graph construction by making suggestions via machine learning methods. In its active mode, Orion automatically su...

Developers often need to use appropriate APIs program efficiently, but it is usually a difficult task identify the exact one they from vast of candidates. To ease burden, multitude API recommendation approaches have been proposed. However, most currently available recommenders do not support effective integration users' feedback into loop. In this paper, we propose framework, BRAID (Boosting Re...

This is the first year IR group of Tsinghua University (THUIR) participates in NTCIR. We register the INTENT task and focus on the Chinese topics of subtopic mining and document ranking subtask. In our experiments, we try to mine subtopics from different resources, namely query recommendation, Wikipedia and the query-URL bipartite graph which is constructed by clickthrough data. We also develop...

Finding patterns in data and being able to retrieve information from those patterns is an important task in Information retrieval. Complex search requirements which are not fulfilled by simple string matching and require exploring certain patterns in data demand a better query engine that can support searching via structured queries. In this article, we built a structured query engine which sup...

With the Popularity of shopping online in people's daily economic life, the commodity recommendation mechanism in e-commerce platform is presented to help customers quickly and accurately find the suitable product. Using the possibility of changing membrane structure, a variant of P system with active membranes is proposed to solve commodity recommendation problems. In this paper, the commodity...

Recommendation systems utilize data analysis techniques to the problem of helping users find the items they would like. Example applications include the recommendation systems for movies, books, CDs and many others. As recommendation systems emerge as an independent research area, the rating structure plays a critical role in recent studies. Among many alternatives, the collaborative filtering ...

Mining query recommendation from query logs has attracted a lot of attention in recent years. We propose to use query recommendations extracted from the logs of a web search engine to solve the session track tasks. The runs are obtained by using the Search Shortcuts recommender system. The Search Shortcuts technique uses an inverted index and the concept of “successful sessions” present in a we...