Google Inc.

Marcin Kaszkiel

Krishna Asur Bharat

Paul Haahr

John Ogden Lamping

Monika Hildegard Henzinger

Mehran Sahami

Amit Singhal

Radhika Malpani

Vibhu Mittal

Matthew D Cutts

A search query for a search engine may be improved by incorporating alternate terms into the search query that are semantically similar to terms of the search query, taking into account information derived from the search query. An initial set of alternate terms that may be semantically similar to the original terms in the search query is generated. The initial set of alternate terms may be compared to information derived from the original search query. One example of such information is a set of documents retrieved in response to a search performed using the initial search query. One or more of the alternate terms may be added to the original search query based on their relationship to the information derived from the original search query.

Search queries improved based on query semantic information

A method of processing documents is described. The method includes the operation of receiving a document in a search engine crawler. The document includes an embedded first link tag. The first link tag includes one or more information pairs. A respective information pair includes a respective parameter and a corresponding value. The parameters in the one or more information pairs may correspond to content at one or more content locations or one or more document locations. The method also includes selecting a method of processing content associated with the first link tag in accordance with one or more of the information pairs.

Embedded communication of link information

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Santa Clara, CA, United States of America

Marcin Kaszkiel