Mohammadali Nematbakhsh

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We propose a novel dependency-based reordering model for hierarchical SMT that predicts the translation order of two types of pairs of constituents of the source tree: head-dependent and dependent-dependent. Our model uses the dependency structure of the source sentence to capture the mediumand long-distance reorderings between these pairs of constituents.(More)
the significant feature of a social networking website is the primary reason they are made for: connecting people and friends via internet. “Friend recommender systems” are wisely designed for finding people, most of whom tend to be with the same interests and backgrounds. These systems use a set of predefined items from which users specify(More)
With the growing amount of published RDF datasets on similar domains, data conflict between similar entities (same-as) is becoming a common problem for Web of Data applications. In this paper we propose an algorithm to detect conflict of same properties values of similar entities and select the most accurate value. The proposed algorithm contains two major(More)
In this paper, reinforcement learning is used in order to model the reputation of buying and selling agents. Two important factors, quality and price, are considered in the proposed model. Each selling agent learns to evaluate the reputation of buying agents, based on their pro ts for that seller and uses this reputation to dedicate a discount for reputable(More)
Arefeh Kazemi 1,*, Antonio Toral 2, Andy Way 3, Amirhassan Monadjemi 1,* and Mohammadali Nematbakhsh 1 1 Department of Computer Engineering, University of Isfahan, Isfahan 81746-73441, Iran; 2 Center for Language and Cognition, University of Groningen, Groningen 9712 EK, The Netherlands; 3 ADAPT Centre, School of(More)
Recommendation system is needed to provide personalized information to the user to improve the searching of the user based upon their searching method. In this work, an architecture that integrates product information with user’s access log data and then generates a set of recommendations for that particular user. This architecture uses more than one data(More)
RDF is a data model to represent structured data on the web. SPARQL is a query language for RDF data that returns exactly matching results. Number of these results may be very high. By rapid growth of web of data the need for efficient ranking methods for results of this kind of queries is increased. Because of exactly matching results in SPARQL queries,(More)
In recent years, E-commerce, web service and web information system have been used explosively. Massive explosion of the world-wide-web and the emergence of ecommerce have encouraged designers to develop recommendation systems. Web users demonstrate a variety of navigational patterns by clicking series of web pages. These patterns can be understood by(More)