Debasis Ganguly

Evaluation of Personalised Information Retrieval at CLEF 2017 (PIR-CLEF): Towards a Reproducible Evaluation Framework for PIR.

2017 · BOA (University of Milano-Bicocca)

The Personalised Information Retrieval (PIR-CLEF) Lab workshop at CLEF 2017 is designed to provide a forum for the exploration of methodologies for the repeatable evaluation of personalised information retrieval (PIR). The PIR-CLEF 2017 Lab provides …

Using Word Embeddings for Information Retrieval

2018

Neural word embedding approaches, due to their ability to capture semantic meanings of vocabulary terms, have recently gained attention of the information retrieval (IR) community and have shown promising results in improving ad hoc retrieval …

To Clean or Not to Clean

2018 · Journal of Data and Information Quality

Web document collections such as WT10G, GOV2, and ClueWeb are widely used for text retrieval experiments. Documents in these collections contain a fair amount of non-content-related markup in the form of tags, hyperlinks, and so …

Exploiting Positional Bias for Query-Agnostic Generative Content in Search

2024 · arXiv (Cornell University)

In recent years, neural ranking models (NRMs) have been shown to substantially outperform their lexical counterparts in text retrieval. In traditional search pipelines, a combination of features leads to well-defined behaviour. However, as neural approaches …

Detecting and Explaining Emotions in Video Advertisements

2024

The use of video advertisements is a common marketing strategy in today's digital age. Extensive research is conducted by companies to comprehend the emotions conveyed in video advertisements, as they play a crucial role in …

Word Embedding based Generalized Language Model for Information Retrieval

2015

Word2vec, a state-of-the-art word embedding technique has gained a lot of interest in the NLP community. The embedding of the word vectors helps to retrieve a list of words that are used in similar contexts …