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When things matter: A survey on data-centric internet of things
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
Survey of temporal information retrieval and related applications
Temporal information retrieval has been a topic of great interest in recent years. Its purpose
is to improve the effectiveness of information retrieval methods by exploiting temporal …
is to improve the effectiveness of information retrieval methods by exploiting temporal …
Beir: A heterogenous benchmark for zero-shot evaluation of information retrieval models
Existing neural information retrieval (IR) models have often been studied in homogeneous
and narrow settings, which has considerably limited insights into their out-of-distribution …
and narrow settings, which has considerably limited insights into their out-of-distribution …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Improvising personalized travel recommendation system with recency effects
A travel recommendation system based on social media activity provides a customized
place of interest to accommodate user-specific needs and preferences. In general, the user's …
place of interest to accommodate user-specific needs and preferences. In general, the user's …
The rise of guardians: Fact-checking url recommendation to combat fake news
A large body of research work and efforts have been focused on detecting fake news and
building online fact-check systems in order to debunk fake news as soon as possible …
building online fact-check systems in order to debunk fake news as soon as possible …
Twevent: segment-based event detection from tweets
Event detection from tweets is an important task to understand the current events/topics
attracting a large number of common users. However, the unique characteristics of tweets …
attracting a large number of common users. However, the unique characteristics of tweets …
Credibility ranking of tweets during high impact events
Twitter has evolved from being a conversation or opinion sharing medium among friends
into a platform to share and disseminate information about current events. Events in the real …
into a platform to share and disseminate information about current events. Events in the real …
Analyzing user modeling on twitter for personalized news recommendations
How can micro-blogging activities on Twitter be leveraged for user modeling and
personalization? In this paper we investigate this question and introduce a framework for …
personalization? In this paper we investigate this question and introduce a framework for …
On predicting the popularity of newly emerging hashtags in t witter
Because of T witter's popularity and the viral nature of information dissemination on T witter,
predicting which T witter topics will become popular in the near future becomes a task of …
predicting which T witter topics will become popular in the near future becomes a task of …