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20132026
most citedVisual SLAM: What are the Current Trends and What to Expect?

119 citations · 181 across the 22 of their papers we have counts for

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7 papers · 1 filter

cs.IR2026

Popcorn: A Configurable Benchmark for Visual Evidence in Multimodal Movie Recommendation

Ali Tourani, Fatemeh Nazary, Yashar Deldjoo +1

Movies are long-form audiovisual works, yet recommender benchmarks often rely on trailers, thumbnails, or metadata. These sources differ in semantics and scalability: full movies p…

cs.IR2025

ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation

Fatemeh Nazary, Ali Tourani, Yashar Deldjoo +1

Recommending long-form video content demands joint modeling of visual, audio, and textual modalities, yet most benchmarks address only raw features or narrow fusion. We present ViL…

cs.IR2025

RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation

Ali Tourani, Fatemeh Nazary, Yashar Deldjoo

This paper addresses the challenge of building multimodal recommender systems for the movie domain, where sparse item metadata (e.g., title and genres) can limit retrieval quality…

cs.IR2023★ 9 cited

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei +1

Point-of-Interest (POI ) recommendation systems have gained popularity for their unique ability to suggest geographical destinations with the incorporation of contextual informatio…

cs.IR2022★ 12 cited

Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation

Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani +1

Recommending appropriate travel destinations to consumers based on contextual information such as their check-in time and location is a primary objective of Point-of-Interest (POI)…

cs.IR2022★ 2 cited

The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation

Hossein A. Rahmani, Yashar Deldjoo, Ali Tourani +1

Point-of-Interest (POI) recommender systems provide personalized recommendations to users and help businesses attract potential customers. Despite their success, recent studies sug…

cs.IR2013

Using Exclusive Web Crawlers to Store Better Results in Search Engines' Database

Ali Tourani, Amir Seyed Danesh

Crawler-based search engines are the mostly used search engines among web and Internet users, involve web crawling, storing in database, ranking, indexing and displaying to the use…