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User oriented tweet ranking
2011
Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11
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In this paper, we propose a personalized tweet ranking method, leveraging the use of retweet behavior, to bring more important tweets forward. ...
In addition, we also investigate how to determine the audience of tweets more effectively, by ranking the users based on their likelihood of retweeting the tweets. ...
Compared to a filtering approach where the incoming information either passes or fails the filter, the ranking method is more conservative in that all the relevant information is presented to the user ...
doi:10.1145/2063576.2063941
dblp:conf/cikm/UysalC11
fatcat:rpdnhinslbbb7amrnuyvr33mem
A Novel Approach for Microblog Message Ranking Based on Trust Model and Content Similarity
2015
International Journal of Database Theory and Application
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We measure the content similarity of messages in the candidate user set and propose a message ranking approach based on user trust model and content similarity. ...
The experiment results show that the approach can accurately rank the microblog messages which the specific users are interested in. ...
[6] designed a new set of link-based features, in addition to content-based features to filter and rank tweets according to their quality. Wei el al. ...
doi:10.14257/ijdta.2015.8.3.25
fatcat:runtoatyxndshj3waf62dnebj4
An in-Browser Microblog Ranking Engine
[chapter]
2012
Lecture Notes in Computer Science
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users to follow, and query results to publish as tweets. ...
We propose a new engine, the Twittering Machine, which evaluates SQL like queries on streams of tweets, using ranking techniques computed at query time. ...
Acknowledgements The authors would like to thank Fabien Culpo, who participated in the implementation of the Twittering Machine. ...
doi:10.1007/978-3-642-33999-8_10
fatcat:af33nfgasnafjoljrmcir4ym5e
Searching for Quality Microblog Posts: Filtering and Ranking Based on Content Analysis and Implicit Links
[chapter]
2012
Lecture Notes in Computer Science
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In order to provide higher quality content (e.g. posts mentioning news, events, useful facts or well-formed opinions) when a user searches for tweets on Twitter, we propose a new method to filter and rank ...
In order to model the quality of tweets, we devise a new set of link-based features, in addition to content-based features. ...
Features for Ranking Similarly to our filtering approach, the criteria for ranking are based on the quality of a tweet. ...
doi:10.1007/978-3-642-29038-1_29
fatcat:mjh2d26qafecrp3qvsl6hnnoka
Regression and Learning to Rank Aggregation for User Engagement Evaluation
[article]
2015
arXiv
pre-print
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2014
Proceedings of the 2014 Recommender Systems Challenge on - RecSysChallenge '14
unpublished
doi:10.1145/2668067.2668077 fatcat:owftcdxrlbgu5e2odvl4cmlzpm
doi:10.1145/2668067.2668077 fatcat:owftcdxrlbgu5e2odvl4cmlzpm
In this paper, we consider a tweet containing a rating for a movie as an instance and focus on ranking the instances of each user based on their engagement, i.e., the total number of retweets and favorites ...
We exploit regression and learning to rank methods to rank the tweets and propose to aggregate the results of regression and learning to rank methods to achieve better performance. ...
User oriented tweet ranking:
Discovery and Data Mining, KDD ’02, pages 133–142, A filtering approach to microblogs. ...
arXiv:1501.07467v1
fatcat:bomiyn6wdrevjchkdgq37hyzz4
Improving News Ranking by Community Tweets
[article]
2012
arXiv
pre-print
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Here, we propose a Community Tweets Voting Model (CTVM) to re-rank Google and Yahoo news search results on the basis of open, large-scale Twitter community data. ...
Users frequently express their information needs by means of short and general queries that are difficult for ranking algorithms to interpret correctly. ...
engines and users oriented interest judgement from MTurk. ...
arXiv:1202.3185v2
fatcat:bmj5c3n6srgpdivenovv2rptbi
Improving news ranking by community tweets
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
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Here, we propose a Community Tweets Voting Model (CTVM) to re-rank Google and Yahoo news search results on the basis of open, large-scale Twitter community data. ...
Users frequently express their information needs by means of short and general queries that are difficult for ranking algorithms to interpret correctly. ...
engines and users oriented interest judgement from MTurk. ...
doi:10.1145/2187980.2188265
dblp:conf/www/ShuaiLB12
fatcat:tzj4vnasovcn3lzdgmenfmwmv4
Time-Aware Rank Aggregation for Microblog Search
2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM '14
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We tackle the problem of searching microblog posts and frame it as a rank aggregation problem where we merge result lists generated by separate rankers so as to produce a final ranking to be returned to ...
the user. ...
[21] integrate temporal and lexical evidence into their query expansion method for microblog search. We propose to develop a rank aggregation-based approach to microblog search. ...
doi:10.1145/2661829.2661905
dblp:conf/cikm/LiangRWMR14
fatcat:m4gqnyzy4fcwblohgkugfaglta
A comprehensive ranking model for tweets big data in online social network
2016
EURASIP Journal on Wireless Communications and Networking
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In OSN, micro-blogging has grown rapidly to a popular online social network recently and provides a large number of real-time tweets for users. ...
We consider three major aspects in our proposed ranking model, including the popularity of a tweet itself, the intimacy between the user and the tweet publisher, and the interest fields of the user. ...
Some ranking model can even merge the tweets with similar or the same contents, so as to avoid passive flooding, while some ranking model helps users filter tweets according to their followers, tags, and ...
doi:10.1186/s13638-016-0532-5
fatcat:ro3q4va4erd5xoanc3k42cpeam
Textually Guided Ranking Network for Attentional Image Retweet Modeling
[article]
2018
arXiv
pre-print
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Unlike previous studies, we learn user preference ranking model from their past retweeted image tweets in SMS. ...
We then develop a novel attentional multi-faceted ranking network learning framework with textually guided multi-modal neural networks for the proposed heterogenous IRM network to learn the joint image ...
Data Preparation 1) Information of dataset: We collect data from Twitter, which is a popular microblog services for Web users to share their media contents [22] . ...
arXiv:1810.10226v1
fatcat:w6gvlba6gbhn5mdmkmbs5i4mcm
Nepotistic relationships in Twitter and their impact on rank prestige algorithms
2013
Information Processing & Management
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In this paper the author offers a comprehensive survey of feasible algorithms for ranking users in social networks, he examines their vulnerabilities to linking malpractice in such networks, and suggests ...
However, given the number and diversity of users, some valuable pieces of information should arise from the stream of tweets. ...
Given that tweets are published by individual users, ranking them to find the most relevant information is a crucial matter. ...
doi:10.1016/j.ipm.2013.06.003
fatcat:obgooolqfrf75licrh27n6uosa
Using Event Identification Algorithm (EIA) to Improve Microblog Retrieval Effectiveness
2015
2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
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The ranking score of a retrieved tweet is adjusted by considering how close the tweet time stamp is to the event using Event Identification Algorithm (EIA). ...
Considering sensitivity to time, we introduce a new factor to help to improve tweet retrieval effectiveness. ...
Miyanishi (2011) developed a two-step approach: re-ranking and filtering. The filtering step identifies and removes retweets and non-English tweets, which was found to be crucial for this task. ...
doi:10.1109/wi-iat.2015.215
dblp:conf/webi/YouHM15
fatcat:uy2anhvlvbcihkjvkxhzyblngy
Sentiment Analysis Technique and Neutrosophic Set Theory for Mining and Ranking Big Data From Online Reviews
2021
IEEE Access
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Twitter is one of the most popular microblog platforms in which users can publish their thoughts and opinions. ...
[71] presented a lexicon-based approach to analyze the opinions on Twitter called SentiCircle. A proposed approach can detect the sentiment for both entity-level and tweet-level. ...
doi:10.1109/access.2021.3067844
fatcat:yyj22l2fezasjagwbfkfssscdy
Collaborative personalized Twitter search with topic-language models
2014
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14
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We then propose a novel user model structure to manage the topical diversity in Twitter and to enable semantic-aware query disambiguation. ...
The vast amount of real-time and social content in microblogs results in an information overload for users when searching microblog data. ...
[7] use a learning-to-rank approach for general tweet ranking. [8, 15] incorporate temporal aspects of tweets to improve microblog search. ...
doi:10.1145/2600428.2609584
dblp:conf/sigir/VoseckyLN14
fatcat:bgwsylrs6vexznikmhdxlb3any
On the impact of entity linking in microblog real-time filtering
2015
Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15
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2016 pre-print arXiv:1611.03350v1 fatcat:ulvuckey6jfojihqqgvm7ptije
Microblogging is a model of content sharing in which the temporal locality of posts with respect to important events, either of foreseeable or unforeseeable nature, makes applica- tions of real-time filtering ...
We implement a start-of-the-art filtering method, based on the best systems from the TREC Microblog track realtime adhoc retrieval and filtering tasks , and extend it with a Wikipedia-based EL method. ...
Each time a new tweet is proposed to the user, Incremental Rocchio checks whether the new tweet is relevant according to the user profile. ...
doi:10.1145/2695664.2695761
dblp:conf/sac/BerardiCEM15
fatcat:mvjrpev22nba7iwx4igb72ucry
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