AI & ML
TaskBridge: Technical Report for SIGIR 2026 eCommerce Challenge
arXiv cs.IR0 views
arXiv:2610.37231v1 Announce Type: new Abstract: The SIGIR 2026 eCommerce Challenge Query Reformulation Task evaluates the reformulation of task-oriented queries into expressions suitable for product retrieval, followed by BM25-based retrieval. These queries often imply product needs through activity-level semantics, creating a lexical gap with catalog descriptions. Systems must preserve task intent while adapting the number of reformulations to the Automatic and Interactive protocols. We propose TaskBridge, a catalog-anchored framework comprising Catalog Semantic Anchoring, Unified Five-Candidate Rewriting, and Protocol-Aware Selection. It grounds queries in catalog vocabulary, generates five complementary reformulations, and selects one query for Automatic retrieval or up to four for Interactive retrieval using BM25 scores, query-product reranking, and weighted Jaccard overlap. The selected queries are independently executed using BM25 to produce results in the required six-column format. Experiments demonstrate improved retrieval effectiveness, with multiple complementary queries providing additional gains in the Interactive setting. TaskBridge achieved first place in the SIGIR 2026 eCommerce Challenge.
Source:https://arxiv.org/abs/2610.37231PreviousAutoRSE: Evaluating LLM Agents as Recommendation Engineers for Self-Evolving Recommender SystemsNextModeling Preference Dependencies with Directed Acyclic Graphs for Narrative-Driven Recommendation
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