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Community question answering services provide an open platform for users to acquire and share their knowledge. In the last decade, popularity of such services has increased noticeably. Large number of unanswered questions is a major problem for the growth of such services. A common way to address this issue is to route a new question to some selected users(More)
A term weighting scheme is described here which is able to circumvent the effect of web spam and content stuffing such as keyword stuffing, hidden unrelated text and meta tag stuffing. This scheme is composed of three components, namely, term frequency, inverse document frequency and document weight. The first two are the conventional components of tf-idf(More)
This article discusses about detecting the most influential users in an online social network. We observe that a communication of an influential user is likely to reach many more users than the same made by a user having lesser influence in the network. Based on this observation, We have formulated a method using the spread of communications (i.e., the(More)
—As a participant of FIRE 2012 monolingual English SMS based FAQ Retrieval Task, we proposed a theme matching scheme [1]. Once again the scheme is implemented for the same task in FIRE 2013 having different set of SMS and FAQ queries. An SMS text usually consists of certain noisy terms due to the limitations of characters allowed in an SMS, lack of screen(More)
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