Tadvise: A Twitter Assistant Based on Twitter Lists

  title={Tadvise: A Twitter Assistant Based on Twitter Lists},
  author={Peyman Nasirifard and Conor Hayes},
Micro-blogging is yet another dynamic information channel where the user needs assistance to manage incoming and outgoing information streams. In this paper, we present our Twitter assistant called Tadvise that aims to help users to know their followers / communities better. Tadvise recommends well-connected topic-sensitive followers, who may act as hubs for broadcasting a tweet to a larger relevant audience. Each piece of advice given by Tadvise is supported by declarative explanations. Our… Expand

Figures and Topics from this paper

Classification of Followee Recommendation Techniques in Twitter
This paper aims to study and classify the different techniques of followee recommendation that exists so far, and highlights the different research directions in the existing recommendation techniques described. Expand
Early and Late Fusion Methods for the Automatic Creation of Twitter Lists
  • Mengjiao Wang, Donn Morrison, Conor Hayes
  • Computer Science
  • 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
  • 2012
Early and late fusion methods for automatically clustering followees using both graph structure and tweet content are proposed and it is shown that the late fusion method outperforms both the baselines and the early fusion method. Expand
A Survey of Recommender Systems in Twitter
A taxonomy of recommendation tasks in Twitter is introduced, and the taxonomy is used to describe the relevant works in recent years to identify areas that need to be further studied. Expand
Online Retweet Recommendation with Item Count Limits
  • Xiaoqi Zhao, Keishi Tajima
  • Computer Science
  • 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
  • 2014
This paper developed a system that reads a sequence of tweets from the friends one by one, and select a given number of tweets in an online (or near-online) fashion, and proposes four algorithms for it that give priority to the timeliness, selection quality, and selection quality. Expand
Retweet Recommendation with Item Count Limits
Some Twitter accounts provide information to the followers not by publishing their own tweets but by forwarding (i.e., retweeting) useful information from their friends. These accounts need to selectExpand
Recommending user connections by utilising the real-time Web
A recommendation framework for friend finding is proposed that is capable of integrating different sources of user preference information that is available through services such as Twitter and related services and designed to provide a natural partitioning of user interests based on those topics that are core to the user versus those that are more peripheral and the social connections linked with the user. Expand
Advances in Understanding, Mining, and Using People-Tags
An access control and in particular an information propagation model which enables end users to define information sharing policies on top of people-tags and a numeric value called distance determines the propagation depth of a resource in a network of connected users. Expand
MyStream: An in Browser Personalization Service to Follow Events from Twitter
It is shown that MySTREAM is effective to follow an event from Twitter, particularly the live recommendation module quickly identifies the most valuable contents over time, and the cost running MYSTREAM on the client device remains minimal. Expand
ISP/PhD Comprehensive Examination
The main focus of the question is on user-contributed contents, and the type of content is the main categorization factor, which can be utilized in content-based, collaborative filtering, knowledge-based and hybrid recommender systems. Expand
DIFSoN: Discovering influential friends from social networks
This paper proposes a computational model that integrates data mining with social computing to help users to discover influential friends from the social networks. Expand


Why we twitter: understanding microblogging usage and communities
It is found that people use microblogging to talk about their daily activities and to seek or share information and the user intentions associated at a community level are analyzed to show how users with similar intentions connect with each other. Expand
Short and tweet: experiments on recommending content from information streams
This paper studied content recommendation on Twitter to better direct user attention and explored three separate dimensions in designing such a recommender: content sources, topic interest models for users, and social voting. Expand
TwitterRank: finding topic-sensitive influential twitterers
Experimental results show that TwitterRank outperforms the one Twitter currently uses and other related algorithms, including the original PageRank and Topic-sensitive PageRank, which is proposed to measure the influence of users in Twitter. Expand
What is Twitter, a social network or a news media?
This work is the first quantitative study on the entire Twittersphere and information diffusion on it and finds a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks. Expand
Socially augmenting employee profiles with people-tagging
A system that enables users to tag other users with key words that are displayed on their profiles, and it is shown that people-tagging has a valuable side benefit: it enables the community to collectively maintain each others' interest and expertise profiles. Expand
Social Tagging and Self-Tagging for Impression Management *
We provided means for people to apply tags to one another within an online corporate directory. Seventy-nine percent of the participants used the system to apply tags to themselves, and 51% appliedExpand
An algorithm for suffix stripping
An algorithm for suffix stripping is described, which has been implemented as a short, fast program in BCPL and performs slightly better than a much more elaborate system with which it has been compared. Expand
Designing the user interface strategies for effective human-computer interaction
The Sixth Edition of Designing the User Interface provides a comprehensive, authoritative, and up-to-date introduction to the dynamic field of human-computer interaction (HCI) and user experience (UX) design. Expand