Add to ORKGConsidering wide use of Twitter as the source of information, reaching an interesting tweet for a user among a bunch of tweets is challenging. In this work we propose a Named Entity Recognition (NER) based user profile modeling for Twitter users and employ this model to generate personalized tweet recommendations. Effectiveness of the proposed method is shown through a set of experiments. Copyright © 2015 held by author(s)
This paper focuses on topic-based prediction of interest of individual users to posts in the context...
The data on Social Network Services (SNSs) has recently become an interesting source for researchers...
User modeling for inferring user interests from Online Social Networks (OSNs) such as Twitter has re...
Twitter has become one of the most important communication channels with its ability of providing th...
Mining social network data and developing user profile from unstructured and informal data are a cha...
Named Entity Recognition (NER) is an important subtask of information extraction that seeks to locat...
amed Entity Recognition (NER) is an important subtask of information extraction that seeks to locate...
Many private and/or public organizations have been reported to create and monitor targeted Twitter s...
The use of social networks sites has led to a challenging overload of information that helped new so...
Twitter, due to its massive growth as a social networking platform, has been in focus for the analys...
Nowadays social media has become one of the largest gatherings of people in online. There are many w...
Named entity recognition (NER) is one of the well-studied sub-branch of natural language processing ...
Nowadays social media has become one of the largest gatherings of people in online. There are many w...
We propose a novel mechanism to infer topics of interest of individual users in the Twitter social n...
Abstract — Extracting personal profiles from various sources such as purchased items, watched movies...
This paper focuses on topic-based prediction of interest of individual users to posts in the context...
The data on Social Network Services (SNSs) has recently become an interesting source for researchers...
User modeling for inferring user interests from Online Social Networks (OSNs) such as Twitter has re...
Twitter has become one of the most important communication channels with its ability of providing th...
Mining social network data and developing user profile from unstructured and informal data are a cha...
Named Entity Recognition (NER) is an important subtask of information extraction that seeks to locat...
amed Entity Recognition (NER) is an important subtask of information extraction that seeks to locate...
Many private and/or public organizations have been reported to create and monitor targeted Twitter s...
The use of social networks sites has led to a challenging overload of information that helped new so...
Twitter, due to its massive growth as a social networking platform, has been in focus for the analys...
Nowadays social media has become one of the largest gatherings of people in online. There are many w...
Named entity recognition (NER) is one of the well-studied sub-branch of natural language processing ...
Nowadays social media has become one of the largest gatherings of people in online. There are many w...
We propose a novel mechanism to infer topics of interest of individual users in the Twitter social n...
Abstract — Extracting personal profiles from various sources such as purchased items, watched movies...
This paper focuses on topic-based prediction of interest of individual users to posts in the context...
The data on Social Network Services (SNSs) has recently become an interesting source for researchers...
User modeling for inferring user interests from Online Social Networks (OSNs) such as Twitter has re...