Recently, open-domain dialogue systems have attracted growing attention. Most of them use the sequence-to-sequence (Seq2Seq) architecture to generate responses. However, traditional Seq2Seq-based models tend generic and safe responses, which are less informative, unlike human In this paper, we propose a simple but effective Keywords-guided Sequence-to-sequence model (KW-Seq2Seq) uses keywords i...

In this work, an approach focused on locating and recommending health care centers within a certain range of distance is presented. The proposed approach includes several integration technologies such as location services, mobile devices, social networks, ontologies, and historical statistics about vehicular traffic. KeywoRDS Collaborative Recommender System, Health Services, Location Technique...

The purpose of the present study is to investigate the sociological impact of social factors on the electoral behavior of citizens of Mazandaran province by comparing the two age groups of youth and adults. In this regard, a descriptive-analytical cross-sectional study was conducted using a researcher-made questionnaire. Statistical population of this study is men and women over 18 years old th...

Online social networks usage are pervasive now a days. Mining the text present in online social networks will be useful for predictive analytic. Predicting information from unstructured data present in the social networks is a challenging research problem. Extracting, identifying or otherwise characterizing the sentiment content of the text unit using statistics and machine learning methods are...

book social media are reading communities primarily developed as online social networks. this study aims to find precise criteria and indicators for evaluation of book social network and examine and rank the most popular book social networks. the sample population included 10 english and two persian book/reading social networks publicly available on the web. a checklist containing 9 main criter...

abstract-manual harvesting of saffron as a laborious and exhausting job; it not only raises production costs, but also reduces the quality due to contaminations. saffron quality could be enhanced if automated harvesting is substituted. as the main step towards designing a saffron harvester robot, an appropriate algorithm was developed in this study based on image processing techniques to recogn...

The growing online traffic that is bringing the infrastructure to its limits induces an urgent demand for an efficient content delivery model. Capitalizing social networks and using advanced delivery networks potentially can help to solve this problem. However, due to the complex nature of the involved networks such a model is difficult to assess. In this paper we use a simulative approach to a...

In this paper, we try to see how virtual networks can af- fect the behavior of the young. Since there are so many indices to be affected by social networks, we evaluate these effects only on 10 more comprehensive behaviors as follows: identity, getting information and the rumors, rationalism,life style, spare time, religions rituals and cer- emonies, interaction with family, employment and eco-...

community detection is a task of fundamental importance in social network analysis. community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. there exist a variety of methods for community detection based on diffe...