Brand analysis using interactions with search result items

1. A computer implemented method, comprising:

analyzing a set of web browsing interaction information;

determining, based on the analyzing, that at least one search process was performed by at least one user;

accessing, based on the set of web browsing interaction information, a web page comprising a search result list associated with the at least one search process, the search result list comprising a set of items corresponding to at least one search process;

analyzing the at least one search result list;

determining that the set of items in the at least one search result list comprises at least one item corresponding to a brand analysis target item and also comprises at least one other item;

determining, based on the web browsing interaction information, that the at least one user performed a selection of one of the brand analysis target item and the other item from the at least one search result list

recording the selection by the at least one user; and

generating, with a processor, a brand analysis metric based on the recording, wherein the brand analysis metric indicates a ratio of selections by the at least one user between the brand analysis target item and the at least one other item.

2. The computer implemented method of claim 1 , wherein to determining that the at least one user performed the selection comprises:

analyzing the set of web browsing interaction information associated;

identifying, based on the analyzing, at least one action performed by the at least one user with respect to the at least one search result list; and

determining that the at least one action indicates the selection by the at least one user of one of the brand analysis target item and the other item from the search results list.

3. The computer implemented method of claim 1 , further comprising:

identifying the at least one search result list in the web page, wherein the identifying comprising:

analyzing the set of web browsing interaction information, wherein the set of web browsing interaction information comprises a plurality of actions performed by the at least one user with respect to web pages in a website;

identifying, based on the analyzing, a search action performed by the at least one user, wherein the search action corresponds to the at least one search process; and

retrieving a web page associated with the action, as indicated by the set of web browsing interaction information, performed by the at least one user immediately after the search action, wherein the web page is the web page comprising the at least one search list.

4. The computer implemented method of claim 3 , wherein identifying the at least one search result list in the web page further comprises:

determining a presentation pattern of search results for the web page;

constructing a document object model (DOM) tree of web page;

analyzing the DOM tree with respect to the presentation pattern; and

identifying, based on the analyzing, a DOM node in the DOM tree comprising the presentation pattern based on a similarity between child nodes of the DOM node, wherein the DOM node corresponds to the at least one search result list, and wherein each child node of the DOM node corresponds to an item in the at least one search result list.

5. The computer implemented method of claim 1 , wherein the recording comprises:

increasing a counter associated with the one of the brand analysis target item and the other item from the search results list in response to the selection thereof by the user.

6. The computer implemented method of claim 1 , wherein the brand analysis metric indicates a ratio between selections of the brand analysis target item and the other item when the brand analysis target item and the other item were presented in the same search result list.

7. The computer implemented method of claim 1 , wherein the other item is a competitor item of the target item.