Daniel Tunkelang·Jul 27A Bag-of-Documents Model for Query SpecificityLast week, I presented “A Bag-of-Documents Model for Query Specificity” at the 2026 SIGIR Workshop on eCommerce.A response icon1A response icon1
Srinivasan Seshadri·Jul 14The Most Important Word in an E-commerce QueryThis article now lives at sseshadri.com — read it there. https://sseshadri.com/posts/the-most-important-word-in-an-e-commerce-query/
Daniel Tunkelang·May 19The Bag-of-Documents Model for Query Understanding and RetrievalToday I presented my recent work on the bag-of-documents model as part of a series of talks hosted by Trey Grainger and Doug Turnbull.
Daniel Tunkelang·Apr 20Distilling Retrieval Pipelines to a Single Embedding ModelA Pretrained Bag-of-Documents Model for Product SearchA response icon1A response icon1
InWorkIndia.inbyIshan·Feb 17When Exact Match Isn’t Enough: Teaching Search to Understand IntentSearch is supposed to be simple.A response icon2A response icon2
Eru John·Jan 14Why People Find Reasons to Hate You; Even When You’ve Done Nothing Wrong.There is a quiet kind of hostility that confuses the soul.
Bangyi Yang·Dec 23, 2025Improving Query Understanding and Document Retrieval in Search Engines Using BERT and Large…AbstractA response icon1A response icon1
Daniel Tunkelang·Dec 9, 2025Relevance: The Outer LimitsThe bag-of-documents model computes the center of relevant content, but not how far from that center retrieval should explore.
Daniel Tunkelang·Dec 3, 2025A Statistical Sense of DirectionAI-powered search represents meaning in terms of unit vectors on the hypersphere. This is the domain of directional statistics.A response icon1A response icon1
Daniel Tunkelang·Nov 24, 2025Beyond AboutnessAboutness defines relevance: a result is relevant if it is about what the query is about. However, aboutness alone is not sufficient.
