Information retrieval - Information Matters

The regulatory landscape of GDPR, CCPA, and other privacy laws has made fulfilling Data Subject Access Requests (DSARs) a critical yet operationally complex challenge. Manual processes for locating an individual’s data across fragmented systems are slow, error-prone, and struggle to meet mandated deadlines. This article explores how AI-driven privacy tools are transforming compliance from a reactive burden into a proactive strategy.

October 16, 2025 Ponego Letswalo

MemGPT: Engineering Semantic Memory through Adaptive Retention and Context Summarization

In traditional information systems, preservation is paramount, deletion represents data loss. MemGPT challenges this paradigm by implementing strategic forgetting through two key mechanisms: summarization and targeted deletion.

Original

September 26, 2025 Sheng-Hsiang Lance Peng

Nothing Beats a Metadata Holiday: Hashtags, Memes and the Accidental Information Science of Jet2

What began as commercial ephemera (an advert produced to shift package holidays) has mutated into cultural capital, a memetic passport to viral belonging. I want to explore that the Jet2 phenomenon is less about planes than about metadata. In fact, nothing beats a metadata holiday. I think hashtags, remixes and tags act like boarding passes: they authorise entry into specific memetic communities, classify users within folksonomies and direct cultural traffic through algorithmic hubs. If airlines build infrastructures to move bodies, platforms build infrastructures to move information. Jet2 (perhaps unintentionally?) has done both.

Featured Original

August 5, 2025 Magnus Igbinovia

Through a Filtered Lens: How Information Retrieval Bias Shapes Users’ Information Consumption

Everyone is interacting with information systems to access, retrieve, and subsequently use information for diverse purposes. What if the information we are consuming to make life-staking decisions has been filtered by an invisible hand? Like the lens of a camera, the invisible hand filters what information we receive, decides for us what is most relevant to our search queries, what is emphasized in our search results, and the ranking order of the information we receive. Unfortunately, this invisible hand is with a “closed fist” (devoid of openness, clarity, and understanding) and is highly subjective.

InfoFire

April 17, 2025 Shalini Urs

IR Meets AI: Looking Back, Looking Forward — A Conversation with Stephen Robertson, Pioneer of Information Retrieval

In this episode of InfoFire, I speak with Dr. Stephen Robertson, a pioneering figure in the field of Information Retrieval (IR), who offers a reflective account of its conceptual and methodological evolution.

Featured Translation

May 14, 2024 Najeem Olawale Adelakun

Exploring the Impact of Artificial Intelligence on Information Retrieval Systems

The study aims to comprehensively explore the impact of artificial intelligence (AI) on information retrieval systems, analysing the evolution, challenges, and future directions. It explores the role of AI in enhancing search relevance, user experience, and ethical considerations in information retrieval contexts. The findings highlight AI’s transformative capabilities in enhancing relevance, personalisation, and semantic understanding within information retrieval systems. Ethical considerations, such as bias mitigation and data privacy, are also addressed.

Featured Translation

July 8, 2023 Irfan Ullah

On the Current State of Query Formulation for Book Search

Formulating a well-defined search query is one of the prominent success factors in getting relevant search results on any search system. However, no latest review or survey exists in the literature that studies query formulation from the perspective of book retrieval. The authors fill this literary gap by studying query formulation in light of research publications from 2007-22.