[PDF][PDF] Overview of the TREC-2013 Microblog Track.
This year represents the fourth iteration of the TREC Microblog track, which has been
running since 2011. The track continued using the “evaluation as a service” model [8, 7], in …
running since 2011. The track continued using the “evaluation as a service” model [8, 7], in …
Hashtag recommendation for hyperlinked tweets
Presence of hyperlink in a tweet is a strong indication of tweet being more informative. In this
paper, we study the problem of hashtag recommendation for hyperlinked tweets (ie, tweets …
paper, we study the problem of hashtag recommendation for hyperlinked tweets (ie, tweets …
Automated essay scoring by capturing relative writing quality
Automated essay-scoring (AES) systems utilize computer techniques and algorithms to
automatically rate essays written in an educational setting, by which the workload of human …
automatically rate essays written in an educational setting, by which the workload of human …
Incorporating query-specific feedback into learning-to-rank models
Relevance feedback has been shown to improve retrieval for a broad range of retrieval
models. It is the most common way of adapting a retrieval model for a specific query. In this …
models. It is the most common way of adapting a retrieval model for a specific query. In this …
A content search method for security topics in microblog based on deep reinforcement learning
N Zhou, J Du, X Yao, W Cui, Z Xue, M Liang - World Wide Web, 2020 - Springer
Traditional methods treat the search problem as a process of selecting and ranking
sequential documents. The methods have been proved effective and are widely used in the …
sequential documents. The methods have been proved effective and are widely used in the …
Locally dense codes
D Micciancio - 2014 IEEE 29th Conference on Computational …, 2014 - ieeexplore.ieee.org
The Minimum Distance Problem (MDP), ie, the computational task of evaluating (exactly or
approximately) the minimum distance of a linear code, is a well known NP-hard problem in …
approximately) the minimum distance of a linear code, is a well known NP-hard problem in …
Those were the days: learning to rank social media posts for reminiscence
Social media posts are a great source for life summaries aggregating activities, events,
interactions and thoughts of the last months or years. They can be used for personal …
interactions and thoughts of the last months or years. They can be used for personal …
Result diversification for tweet search
Being one of the most popular microblogging platforms, Twitter handles more than two
billion queries per day. Given the users' desire for fresh and novel content but their …
billion queries per day. Given the users' desire for fresh and novel content but their …
Training query filtering for semi-supervised learning to rank with pseudo labels
Semi-supervised learning is a machine learning paradigm that can be applied to create
pseudo labels from unlabeled data for learning a ranking model, when there is only limited …
pseudo labels from unlabeled data for learning a ranking model, when there is only limited …
Harnessing twitter for answering opinion list queries
Opinion list (OL) queries like “valentines day gift ideas” and “best anniversary messages for
your parents” are quite popular on web search engines. Users expect instant answers …
your parents” are quite popular on web search engines. Users expect instant answers …